Publication Information

{'id': 'https://openalex.org/W4362521774', 'doi': 'https://doi.org/10.1148/radiol.230424', 'title': 'Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT', 'display_name': 'Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT', 'publication_year': 2023, 'publication_date': '2023-04-04', 'ids': {'openalex': 'https://openalex.org/W4362521774', 'doi': 'https://doi.org/10.1148/radiol.230424', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/37014239'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1148/radiol.230424', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S50280174', 'display_name': 'Radiology', 'issn_l': '0033-8419', 'issn': ['0033-8419', '1527-1315'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310315931', 'host_organization_name': 'Radiological Society of North America', 'host_organization_lineage': ['https://openalex.org/P4310315931'], 'host_organization_lineage_names': ['Radiological Society of North America'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref', 'pubmed'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5057745694', 'display_name': 'Hana L. Haver', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I126744593', 'display_name': 'University of Maryland, Baltimore', 'ror': 'https://ror.org/04rq5mt64', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I126744593']}, {'id': 'https://openalex.org/I145311948', 'display_name': 'Johns Hopkins University', 'ror': 'https://ror.org/00za53h95', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I145311948']}, {'id': 'https://openalex.org/I66946132', 'display_name': 'University of Maryland, College Park', 'ror': 'https://ror.org/047s2c258', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I66946132']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Hana L Haver', 'raw_affiliation_strings': ['From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).'], 'affiliations': [{'raw_affiliation_string': 'From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).', 'institution_ids': ['https://openalex.org/I126744593', 'https://openalex.org/I145311948', 'https://openalex.org/I66946132']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5068042789', 'display_name': 'Emily B. Ambinder', 'orcid': 'https://orcid.org/0000-0001-6282-5858'}, 'institutions': [{'id': 'https://openalex.org/I126744593', 'display_name': 'University of Maryland, Baltimore', 'ror': 'https://ror.org/04rq5mt64', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I126744593']}, {'id': 'https://openalex.org/I66946132', 'display_name': 'University of Maryland, College Park', 'ror': 'https://ror.org/047s2c258', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I66946132']}, {'id': 'https://openalex.org/I145311948', 'display_name': 'Johns Hopkins University', 'ror': 'https://ror.org/00za53h95', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I145311948']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Emily B Ambinder', 'raw_affiliation_strings': ['From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).'], 'affiliations': [{'raw_affiliation_string': 'From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).', 'institution_ids': ['https://openalex.org/I126744593', 'https://openalex.org/I66946132', 'https://openalex.org/I145311948']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5032850952', 'display_name': 'Manisha Bahl', 'orcid': 'https://orcid.org/0000-0002-7728-7690'}, 'institutions': [{'id': 'https://openalex.org/I126744593', 'display_name': 'University of Maryland, Baltimore', 'ror': 'https://ror.org/04rq5mt64', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I126744593']}, {'id': 'https://openalex.org/I145311948', 'display_name': 'Johns Hopkins University', 'ror': 'https://ror.org/00za53h95', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I145311948']}, {'id': 'https://openalex.org/I66946132', 'display_name': 'University of Maryland, College Park', 'ror': 'https://ror.org/047s2c258', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I66946132']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Manisha Bahl', 'raw_affiliation_strings': ['From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).'], 'affiliations': [{'raw_affiliation_string': 'From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).', 'institution_ids': ['https://openalex.org/I126744593', 'https://openalex.org/I145311948', 'https://openalex.org/I66946132']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5053855433', 'display_name': 'Eniola Oluyemi', 'orcid': 'https://orcid.org/0000-0001-8956-4379'}, 'institutions': [{'id': 'https://openalex.org/I126744593', 'display_name': 'University of Maryland, Baltimore', 'ror': 'https://ror.org/04rq5mt64', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I126744593']}, {'id': 'https://openalex.org/I145311948', 'display_name': 'Johns Hopkins University', 'ror': 'https://ror.org/00za53h95', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I145311948']}, {'id': 'https://openalex.org/I66946132', 'display_name': 'University of Maryland, College Park', 'ror': 'https://ror.org/047s2c258', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I66946132']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Eniola T Oluyemi', 'raw_affiliation_strings': ['From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).'], 'affiliations': [{'raw_affiliation_string': 'From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).', 'institution_ids': ['https://openalex.org/I126744593', 'https://openalex.org/I145311948', 'https://openalex.org/I66946132']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5002281375', 'display_name': 'Jean Jeudy', 'orcid': 'https://orcid.org/0000-0002-6028-459X'}, 'institutions': [{'id': 'https://openalex.org/I126744593', 'display_name': 'University of Maryland, Baltimore', 'ror': 'https://ror.org/04rq5mt64', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I126744593']}, {'id': 'https://openalex.org/I145311948', 'display_name': 'Johns Hopkins University', 'ror': 'https://ror.org/00za53h95', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I145311948']}, {'id': 'https://openalex.org/I66946132', 'display_name': 'University of Maryland, College Park', 'ror': 'https://ror.org/047s2c258', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I66946132']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Jean Jeudy', 'raw_affiliation_strings': ['From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).'], 'affiliations': [{'raw_affiliation_string': 'From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).', 'institution_ids': ['https://openalex.org/I126744593', 'https://openalex.org/I145311948', 'https://openalex.org/I66946132']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5015923200', 'display_name': 'Paul H. Yi', 'orcid': 'https://orcid.org/0000-0001-9433-8093'}, 'institutions': [{'id': 'https://openalex.org/I126744593', 'display_name': 'University of Maryland, Baltimore', 'ror': 'https://ror.org/04rq5mt64', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I126744593']}, {'id': 'https://openalex.org/I145311948', 'display_name': 'Johns Hopkins University', 'ror': 'https://ror.org/00za53h95', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I145311948']}, {'id': 'https://openalex.org/I66946132', 'display_name': 'University of Maryland, College Park', 'ror': 'https://ror.org/047s2c258', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I66946132']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Paul H Yi', 'raw_affiliation_strings': ['From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).'], 'affiliations': [{'raw_affiliation_string': 'From the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, First Floor, Room 1172, Baltimore, MD 21201 (H.L.H., J.J., P.H.Y.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (E.B.A., E.T.O.); Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, Boston, Mass (M.B.); Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, Baltimore, Md (P.H.Y.); and Fischell Department of Bioengineering, A. James Clark School of Engineering, University of Maryland, College Park, Md (P.H.Y.).', 'institution_ids': ['https://openalex.org/I126744593', 'https://openalex.org/I145311948', 'https://openalex.org/I66946132']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 10.311, 'has_fulltext': False, 'cited_by_count': 172, 'citation_normalized_percentile': {'value': 0.999427, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 99, 'max': 100}, 'biblio': {'volume': '307', 'issue': '4', 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11636', 'display_name': 'Artificial Intelligence in Healthcare and Education', 'score': 0.9955, 'subfield': {'id': 'https://openalex.org/subfields/2718', 'display_name': 'Health Informatics'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11636', 'display_name': 'Artificial Intelligence in Healthcare and Education', 'score': 0.9955, 'subfield': {'id': 'https://openalex.org/subfields/2718', 'display_name': 'Health Informatics'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, {'id': 'https://openalex.org/T12422', 'display_name': 'Radiomics and Machine Learning in Medical Imaging', 'score': 0.9683, 'subfield': {'id': 'https://openalex.org/subfields/2741', 'display_name': 'Radiology, Nuclear Medicine and Imaging'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}], 'keywords': [], 'concepts': [{'id': 'https://openalex.org/C71924100', 'wikidata': 'https://www.wikidata.org/wiki/Q11190', 'display_name': 'Medicine', 'level': 0, 'score': 0.8432161}, {'id': 'https://openalex.org/C530470458', 'wikidata': 'https://www.wikidata.org/wiki/Q128581', 'display_name': 'Breast cancer', 'level': 3, 'score': 0.56829345}, {'id': 'https://openalex.org/C2993838110', 'wikidata': 'https://www.wikidata.org/wiki/Q494230', 'display_name': 'Medical school', 'level': 2, 'score': 0.5446623}, {'id': 'https://openalex.org/C512399662', 'wikidata': 'https://www.wikidata.org/wiki/Q3505712', 'display_name': 'Family medicine', 'level': 1, 'score': 0.46174532}, {'id': 'https://openalex.org/C121608353', 'wikidata': 'https://www.wikidata.org/wiki/Q12078', 'display_name': 'Cancer', 'level': 2, 'score': 0.34547243}, {'id': 'https://openalex.org/C74909509', 'wikidata': 'https://www.wikidata.org/wiki/Q10387', 'display_name': 'Gerontology', 'level': 1, 'score': 0.34123427}, {'id': 'https://openalex.org/C161191863', 'wikidata': 'https://www.wikidata.org/wiki/Q199655', 'display_name': 'Library science', 'level': 1, 'score': 0.32566673}, {'id': 'https://openalex.org/C2989005', 'wikidata': 'https://www.wikidata.org/wiki/Q214963', 'display_name': 'Nuclear medicine', 'level': 1, 'score': 0.3224945}, {'id': 'https://openalex.org/C126322002', 'wikidata': 'https://www.wikidata.org/wiki/Q11180', 'display_name': 'Internal medicine', 'level': 1, 'score': 0.2175709}, {'id': 'https://openalex.org/C509550671', 'wikidata': 'https://www.wikidata.org/wiki/Q126945', 'display_name': 'Medical education', 'level': 1, 'score': 0.17142513}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.0}], 'mesh': [{'descriptor_ui': 'D001943', 'descriptor_name': 'Breast Neoplasms', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D055088', 'descriptor_name': 'Early Detection of Cancer', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D001943', 'descriptor_name': 'Breast Neoplasms', 'qualifier_ui': 'Q000517', 'qualifier_name': 'prevention & control', 'is_major_topic': False}, {'descriptor_ui': 'D001943', 'descriptor_name': 'Breast Neoplasms', 'qualifier_ui': 'Q000000981', 'qualifier_name': 'diagnostic imaging', 'is_major_topic': False}, {'descriptor_ui': 'D005260', 'descriptor_name': 'Female', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D006801', 'descriptor_name': 'Humans', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1148/radiol.230424', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S50280174', 'display_name': 'Radiology', 'issn_l': '0033-8419', 'issn': ['0033-8419', '1527-1315'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310315931', 'host_organization_name': 'Radiological Society of North America', 'host_organization_lineage': ['https://openalex.org/P4310315931'], 'host_organization_lineage_names': ['Radiological Society of North America'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/37014239', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'display_name': 'Good health and well-being', 'id': 'https://metadata.un.org/sdg/3', 'score': 0.68}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 3, 'referenced_works': ['https://openalex.org/W4318069287', 'https://openalex.org/W4318925155', 'https://openalex.org/W4319062614'], 'related_works': ['https://openalex.org/W4301030387', 'https://openalex.org/W3109514250', 'https://openalex.org/W3091939572', 'https://openalex.org/W2414286769', 'https://openalex.org/W2375584271', 'https://openalex.org/W2265673768', 'https://openalex.org/W2037827305', 'https://openalex.org/W2013223288', 'https://openalex.org/W1997105855', 'https://openalex.org/W1905072147'], 'abstract_inverted_index': {'HomeRadiologyVol.': [0], '307,': [1, 1412, 1673], 'No.': [2, 406, 466, 480, 497, 514, 539, 568, 641, 662, 770, 784, 821, 853, 883, 936, 960, 1032, 1051, 1113, 1149, 1165, 1190, 1280, 1307, 1379, 1413, 1445, 1495, 1674], '4': [3, 172, 1675], 'PreviousNext': [4], 'Original': [5], 'ResearchBreast': [6], 'ImagingAppropriateness': [7], 'of': [8, 53, 61, 68, 71, 92, 101, 108, 111, 128, 139, 145, 148, 243, 284, 308, 366, 408, 432, 436, 516, 563, 570, 615, 665, 694, 699, 719, 724, 753, 786, 794, 817, 824, 829, 834, 855, 888, 899, 920, 962, 990, 997, 1078, 1105, 1109, 1118, 1138, 1153, 1167, 1207, 1235, 1302, 1317, 1339, 1357, 1416, 1441, 1449, 1467, 1482, 1491, 1497, 1503, 1583, 1635, 1655], 'Breast': [9, 112, 274, 289, 374, 414, 1518, 1545, 1565, 1598, 1606, 1636], 'Cancer': [10, 290, 375, 579, 802, 805, 940, 1254, 1386, 1519, 1607, 1637], 'Prevention': [11, 246, 376, 1255], 'and': [12, 64, 94, 136, 195, 201, 209, 277, 330, 377, 444, 572, 734, 773, 789, 803, 832, 836, 886, 944, 971, 992, 1084, 1123, 1144, 1158, 1194, 1197, 1209, 1218, 1229, 1233, 1256, 1342, 1418, 1427, 1484, 1511, 1528, 1586], 'Screening': [13, 291, 580, 1257, 1527, 1593], 'Recommendations': [14, 247], 'Provided': [15, 410], 'by': [16, 411, 926, 1177], 'ChatGPTHana': [17], 'L.': [18, 34, 160, 241, 379, 1259], 'Haver,': [19, 35, 380, 1260], 'Emily': [20, 36, 384, 418], 'B.': [21, 37, 162, 385, 871], 'Ambinder,': [22, 38, 386], 'Manisha': [23, 39, 387], 'Bahl,': [24, 40, 388], 'Eniola': [25, 41, 389], 'T.': [26, 42, 165, 390], 'Oluyemi,': [27, 43, 391], 'Jean': [28, 44, 392, 1269], 'Jeudy,': [29, 45, 393, 1270], 'Paul': [30, 46, 394, 423, 811, 1062, 1101, 1266], 'H.': [31, 47, 89, 168, 395, 1182, 1267], 'Yi': [32, 48, 169], 'Hana': [33], 'Author': [49], 'AffiliationsFrom': [50], 'the': [51, 205, 306, 364, 613, 697, 707, 827, 857, 1075, 1106, 1173, 1227, 1312, 1315, 1337, 1345, 1447, 1553, 1556, 1605, 1656], 'University': [52, 67, 99, 147, 1141], 'Maryland': [54, 69], 'Medical': [55, 309], 'Intelligent': [56], 'Imaging': [57, 275, 402], '(UM2ii)': [58], 'Center,': [59], 'Department': [60, 91, 107, 138], 'Diagnostic': [62, 916, 1330, 1529], 'Radiology': [63, 93, 316, 338, 865], 'Nuclear': [65], 'Medicine,': [66, 72, 102, 659], 'School': [70, 100, 127, 144], '670': [73], 'W': [74], 'Baltimore': [75], 'St,': [76], 'First': [77], 'Floor,': [78], 'Room': [79, 1310], '1172,': [80], 'Baltimore,': [81, 103, 133], 'MD': [82], '21201': [83], '(H.L.H.,': [84], 'J.J.,': [85], 'P.H.Y.);': [86], 'The': [87, 1623, 1626], 'Russell': [88], 'Morgan': [90], 'Radiological': [95], 'Science,': [96], 'Johns': [97, 130], 'Hopkins': [98, 131], 'Md': [104, 134, 152], '(E.B.A.,': [105], 'E.T.O.);': [106], 'Radiology,': [109, 285, 494, 501, 511, 588, 767, 880, 896, 917, 1029, 1072, 1087, 1110, 1331, 1410, 1492], 'Division': [110], 'Imaging,': [113, 1277], 'Massachusetts': [114], 'General': [115], 'Hospital,': [116], 'Boston,': [117], 'Mass': [118], '(M.B.);': [119], 'Malone': [120], 'Center': [121], 'for': [122, 207, 220, 487, 523, 670, 863, 994, 1171, 1223, 1311, 1336, 1421, 1538, 1555, 1596], 'Engineering': [123, 577], 'in': [124, 447, 485, 500, 519, 578, 598, 617, 696, 701, 826, 890, 902, 915, 938, 966, 986, 1059, 1086, 1192, 1252, 1283, 1329, 1344, 1367, 1451, 1478, 1500, 1544, 1600, 1642, 1646], 'Healthcare,': [125, 850], 'Whiting': [126], 'Engineering,': [129, 146, 1304, 1359], 'University,': [132], '(P.H.Y.);': [135], 'Fischell': [137], 'Bioengineering,': [140], 'A.': [141, 1004, 1009], 'James': [142, 979], 'Clark': [143], 'Maryland,': [149], 'College': [150, 283, 1108], 'Park,': [151], '(P.H.Y.)Address': [153], 'correspondence': [154], 'to': [155, 176, 185, 189, 368, 468, 470, 543, 706, 748, 791, 797, 1090, 1383, 1551, 1569], 'P.H.Y.': [156], '(email:': [157], '[email': [158], 'protected]).Hana': [159], 'HaverEmily': [161], 'AmbinderManisha': [163], 'BahlEniola': [164], 'OluyemiJean': [166], 'JeudyPaul': [167], 'Published': [170], 'Online:Apr': [171], '2023https://doi.org/10.1148/radiol.230424MoreSectionsFull': [173], 'textPDF': [174], 'ToolsAdd': [175], 'favoritesCiteTrack': [177], 'CitationsPermissionsReprints': [178], 'ShareShare': [179], 'onFacebookXLinked': [180], 'In': [181], 'AbstractChatGPT': [182], 'shows': [183], 'potential': [184, 206], 'provide': [186], 'accurate': [187], 'information': [188], 'patients': [190], 'about': [191, 373], 'breast': [192], 'cancer': [193, 967], 'prevention': [194], 'screening': [196], 'but': [197], 'requires': [198], 'further': [199], 'study': [200, 597, 611], 'physician': [202], 'oversight,': [203], 'given': [204], 'inappropriate': [208], 'unreliable': [210], 'recommendations.Download': [211], 'as': [212, 1476, 1536], 'PowerPointReferences1.': [213], 'Open': [214], 'AI.': [215], 'CHATGPT:': [216], 'Optimizing': [217], 'language': [218, 643, 759, 964], 'models': [219, 644, 965], 'dialogue.': [221], 'https://openai.com/blog/chatgpt/.': [222], 'Accessed': [223, 295], 'February': [224, 296, 398], '15,': [225], '2023.': [226, 298], 'Google': [227, 261, 287, 299, 319, 341, 573, 1390], 'Scholar2.': [228], 'Sarraju': [229], 'A,': [230], 'Bruemmer': [231], 'D,': [232], 'Van': [233], 'Iterson': [234], 'E,': [235], 'Cho': [236], 'L,': [237, 324], 'Rodriguez': [238], 'F,': [239], 'Laffin': [240], 'Appropriateness': [242], 'Cardiovascular': [244, 835], 'Disease': [245], 'Obtained': [248], 'From': [249, 1088], 'a': [250], 'Popular': [251], 'Online': [252], 'Chat-Based': [253], 'Artificial': [254, 1219, 1469, 1498, 1589], 'Intelligence': [255, 1282, 1499], 'Model.': [256], 'JAMA': [257], '2023;329(10):842–844.': [258], 'Crossref,': [259], 'Medline,': [260], 'Scholar3.': [262], 'D’Orsi': [263], 'CJ,': [264], 'Sickles': [265], 'EA,': [266], 'Mendelson': [267], 'EB,': [268], 'Morrie': [269], 'EA.': [270], 'ACR': [271], 'BI-RADS': [272], 'Atlas,': [273], 'Reporting': [276], 'Data': [278, 995], 'System.': [279], 'Reston,': [280], 'Va:': [281], 'American': [282, 430, 815, 1107], '2013.': [286], 'Scholar4.': [288], 'Guidelines': [292], 'ACS.': [293], 'https://www.cancer.org/cancer/breast-cancer/screening-tests-and-early-detection/american-cancer-society-recommendations-for-the-early-detection-of-breast-cancer.html.': [294], '20,': [297, 1112], 'Scholar5.': [300], 'Kitamura': [301], 'FC.': [302], 'ChatGPT': [303, 329, 367, 412, 437, 541, 571, 695, 825, 889, 900, 991, 1036, 1388], 'Is': [304], 'Shaping': [305], 'Future': [307, 664, 735, 945], 'Writing': [310], 'But': [311, 1534], 'Still': [312], 'Requires': [313], 'Human': [314, 1289], 'Judgment.': [315], '2023;307(2):e230171.': [317], 'Link,': [318, 340], 'Scholar6.': [320], 'Shen': [321], 'Y,': [322], 'Heacock': [323], 'Elias': [325], 'J,': [326], 'et': [327], 'al.': [328], 'Other': [331], 'Large': [332, 859, 1318, 1472], 'Language': [333, 860, 1180, 1216, 1319, 1473], 'Models': [334, 1080, 1217, 1320, 1474], 'Are': [335], 'Double-edged': [336], 'Swords.': [337], '2023;307(2):e230163.': [339], 'ScholarArticle': [342], 'HistoryReceived:': [343], 'Feb': [344, 348], '23': [345], '2023Revision': [346, 350], 'requested:': [347], '24': [349], 'received:': [351], 'Mar': [352, 355], '15': [353], '2023Accepted:': [354], '21': [356], '2023Published': [357], 'online:': [358], 'Apr': [359], '04': [360], '2023': [361, 461, 475, 509, 533, 560, 635, 655, 715, 764, 848, 878, 931, 955, 983, 1027, 1045, 1185, 1203, 1243, 1273, 1299, 1354, 1408, 1437, 1460, 1507], 'FiguresReferencesRelatedDetailsCited': [362], 'ByEvaluating': [363], 'Use': [365], 'Accurately': [369], 'Simplify': [370], 'Patient-centered': [371], 'Information': [372, 409, 1145], 'ScreeningHana': [378, 806], 'Anuj': [381], 'K.': [382], 'Gupta,': [383], 'Yi,': [396, 1268], '2': [397, 672, 703], '2024': [399, 428, 492], '|': [400, 429, 462, 476, 493, 510, 534, 561, 586, 604, 636, 656, 690, 716, 741, 765, 780, 814, 849, 879, 894, 912, 932, 956, 984, 1028, 1046, 1070, 1103, 1136, 1161, 1186, 1204, 1244, 1274, 1300, 1326, 1355, 1373, 1409, 1438, 1461, 1488, 1508], 'Radiology:': [401, 1275], 'Cancer,': [403], 'Vol.': [404, 434, 464, 478, 495, 512, 537, 566, 589, 608, 639, 660, 692, 721, 743, 768, 782, 819, 851, 881, 897, 918, 934, 958, 988, 1030, 1049, 1073, 1111, 1147, 1163, 1188, 1214, 1248, 1278, 1305, 1332, 1360, 1377, 1411, 1443, 1465, 1493, 1514, 1672], '6,': [405, 661], '2Appropriateness': [407], 'Regarding': [413], 'Pathologic': [415], 'DiagnosesEniola': [416], 'T.Oluyemi,': [417], 'B.Ambinder,': [419], 'OlutayoSogunro,': [420], 'Marissa': [421], 'JanineWhite,': [422], 'H.Yi,': [424, 812, 1063], 'Kelly': [425], 'S.Myers3': [426], 'January': [427, 491], 'Journal': [431, 718, 816, 1104, 1137, 1206, 1440, 1490], 'Roentgenology,': [433, 818], '96Accuracy': [435], 'generated': [438], 'diagnosis': [439], 'from': [440, 622, 1604], "patient's": [441], 'medical': [442], 'history': [443], 'imaging': [445], 'findings': [446], 'neuroradiology': [448], 'casesDaisukeHoriuchi,': [449], 'HiroyukiTatekawa,': [450], 'TaroShimono,': [451], 'Shannon': [452], 'LWalston,': [453], 'HirotakaTakita,': [454], 'ShuMatsushita,': [455], 'TatsushiOura,': [456], 'YasuhitoMitsuyama,': [457], 'YukioMiki,': [458], 'DaijuUeda23': [459], 'November': [460, 474, 532, 634, 714, 847], 'Neuroradiology,': [463], '66,': [465], '1Response': [467], 'Letter': [469], 'EditorBengüMutlu': [471], 'Sütcüoğlu,': [472], 'MelikeGüler27': [473], 'Menopause,': [477, 933], '31,': [479], "1Editor's": [481], 'Note:': [482], '2023—The': [483], 'Year': [484], 'Review': [486], 'RadiologyLinda': [488], 'Moy,': [489, 506], '30': [490], '310,': [496], '1Top': [498], 'Publications': [499], '2023:': [502], 'Our': [503], '100th': [504], 'YearLinda': [505], '12': [507], 'December': [508, 1459], '309,': [513, 882], '3Evaluation': [515], "ChatGPT's": [517, 795, 1250], 'performance': [518], 'providing': [520, 618], 'treatment': [521, 620], 'recommendations': [522, 621, 924], 'pediatric': [524], 'diseasesQiuhongWei,': [525], 'YanqinWang,': [526], 'ZhengxiongYao,': [527], 'YingCui,': [528], 'BoWei,': [529], 'TingyuLi,': [530], 'XimingXu20': [531], 'Pediatric': [535], 'Discovery,': [536], '1,': [538, 783, 1164, 1378], '3Assessing': [540], 'responses': [542], 'common': [544], 'patient': [545], 'queries': [546], 'regarding': [547], 'basal': [548], 'cell': [549, 1430], 'carcinomaMegan': [550], 'H.Trager,': [551], 'DawnQueen,': [552], 'Lindsey': [553], 'A.Bordone,': [554], 'Larisa': [555], 'J.Geskin,': [556], 'Faramarz': [557], 'H.Samie5': [558], 'September': [559, 763, 930, 982, 1026, 1184], 'Archives': [562], 'Dermatological': [564], 'Research,': [565, 1464], '315,': [567], '10Evaluation': [569], 'Bard': [574, 790], 'Using': [575, 856], 'Prompt': [576], 'AlgorithmsDanielNguyen,': [581], 'DanielSwanson,': [582], 'AlexNewbury,': [583], 'Young': [584], 'H.Kim2023Dec1': [585], 'Academic': [587, 895, 1071], "388ChatGPT's": [590], 'dance': [591], 'with': [592, 1563, 1571, 1662], 'neuropsychological': [593], 'data:': [594], 'A': [595, 1056, 1116, 1169, 1221, 1580], 'case': [596], 'Alzheimer’s': [599], 'diseaseMohamadEl': [600], 'Haj,': [601], 'ClaireBoutoleau-Bretonnière,': [602], 'GuillaumeChapelet2023Dec1': [603], 'Ageing': [605], 'Research': [606], 'Reviews,': [607], '92A': [609], 'pilot': [610], 'on': [612, 730, 1001, 1226, 1523], 'efficacy': [614], 'GPT-4': [616, 993, 1038, 1287], 'orthopedic': [619], 'MRI': [623], 'reportsDanielTruhn,': [624], 'Christian': [625], 'D.Weber,': [626], 'Benedikt': [627], 'J.Braun,': [628], 'KenoBressem,': [629], 'Jakob': [630], 'N.Kather,': [631], 'ChristianeKuhl,': [632], 'SvenNebelung17': [633], 'Scientific': [637, 1479], 'Reports,': [638], '13,': [640], '1Large': [642], 'propagate': [645], 'race-based': [646], 'medicineJesutofunmi': [647], 'A.Omiye,': [648], 'Jenna': [649], 'C.Lester,': [650], 'SimonSpichak,': [651], 'VeronicaRotemberg,': [652], 'RoxanaDaneshjou20': [653], 'October': [654, 877, 954, 1436, 1506], 'npj': [657], 'Digital': [658, 1509, 1564, 1597], '1The': [663], 'Patient': [666, 1054], 'Education:': [667, 1055], 'AI-Driven': [668], 'Guide': [669], 'Type': [671], 'DiabetesCarlos': [673], 'AHernandez,': [674], 'Andres': [675], 'EVazquez': [676], 'Gonzalez,': [677], 'AnastasiiaPolianovskaia,': [678], 'RafaelAmoro': [679], 'Sanchez,': [680], 'VeronicaMuyolema': [681], 'Arce,': [682], 'AhmedMustafa,': [683], 'EkaterinaVypritskaya,': [684], 'OscarPerez': [685], 'Gutierrez,': [686], 'MuhammadBashir,': [687], 'AshkanEighaei': [688], 'Sedeh2023Nov16': [689], 'Cureus,': [691, 742], '157Credibility': [693], 'assessment': [698], 'obesity': [700], 'type': [702], 'diabetes': [704], 'according': [705, 1568], 'guidelinesTugbaBarlas,': [708], 'Alev': [709], 'ErogluAltinova,': [710], 'MujdeAkturk,': [711], 'Fusun': [712], 'BalosToruner11': [713], 'International': [717, 1439], 'Obesity,': [720], '414The': [722], 'Impact': [723, 887], 'Chat': [725], 'Generative': [726, 1079, 1178, 1362, 1468], 'Pre-trained': [727], 'Transformer': [728, 1364], '(ChatGPT)': [729, 1365], 'Oncology:': [731], 'Application,': [732], 'Expectations,': [733], 'ProspectsYanxingLi,': [736], 'WentaoGao,': [737], 'ZhenhuaLuan,': [738], 'ZhiZhou,': [739], 'JianjunLi2023Nov11': [740], '3To': [744], 'BERT': [745], 'or': [746], 'not': [747], 'BERT:': [749], 'advancing': [750], 'non-invasive': [751], 'prediction': [752], 'tumor': [754], 'biomarkers': [755], 'using': [756], 'transformer-based': [757], 'natural': [758], 'processing': [760], '(NLP)Ali': [761], 'S.Tejani22': [762], 'European': [766], '33,': [769], '11ChatGPT-based': [771], 'biological': [772], 'psychological': [774], 'data': [775], 'imputationAnamNazir,': [776], 'Muhammad': [777], 'NadeemCheeema,': [778], 'ZeWang2023Nov1': [779], 'Meta-Radiology,': [781, 1162], '3Use': [785], 'ChatGPT,': [787, 1477], 'GPT-4,': [788], 'Improve': [792], 'Readability': [793], 'Answers': [796], 'Common': [798, 1384], 'Questions': [799], 'About': [800], 'Lung': [801, 804, 1002, 1253, 1385], 'L.Haver,': [807], 'Cheng': [808, 1261], 'TingLin,': [809], 'ArleneSirajuddin,': [810], 'JeanJeudy2023Nov1': [813], '221,': [820], '5The': [822, 1414], 'Role': [823], 'Advancement': [828], 'Diagnosis,': [830], 'Management,': [831], 'Prognosis': [833], 'Cerebrovascular': [837], 'DiseaseDavid-DimitrisChlorogiannis,': [838], 'AnastasiosApostolos,': [839], 'AnargyrosChlorogiannis,': [840], 'LeonidasPalaiodimos,': [841], 'GeorgeGiannakoulas,': [842], 'SumantPargaonkar,': [843], 'SofiaXesfingi,': [844], 'Damianos': [845], 'G.Kokkinidis6': [846], '11,': [852, 959, 1189], '21Feasibility': [854], 'Privacy-preserving': [858], 'Model': [861], 'Vicuna': [862], 'Labeling': [864], 'ReportsPritam': [866], 'Mukherjee,': [867], 'Benjamin': [868], 'Hou,': [869], 'Ricardo': [870], 'Lanfredi,': [872], 'Ronald': [873], 'M.': [874], 'Summers,': [875], '10': [876], '1Potential': [884], 'Applications': [885], 'RadiologySuryanshBajaj,': [891], 'DarshanGandhi,': [892], 'DivyaNayar2023Oct1': [893], '1Analysis': [898], 'publications': [901], 'radiology:': [903], 'Literature': [904], 'so': [905], 'farKaustavBera,': [906], 'GregoryO’Connor,': [907], 'SiruiJiang,': [908, 1323], 'Sree': [909], 'HarshaTirumani,': [910], 'NikhilRamaiya2023Oct1': [911], 'Current': [913, 1327], 'Problems': [914, 1328], '30Appropriateness': [919], 'premature': [921], 'ovarian': [922], 'insufficiency': [923], 'provided': [925], 'ChatGPTBengü': [927], 'MutluSütcüoğlu,': [928], 'MelikeGüler5': [929], '30,': [935], '10AI': [937], 'Thyroid': [939], 'Diagnosis:': [941], 'Techniques,': [942], 'Trends,': [943], 'DirectionsYassineHabchi,': [946], 'YassineHimeur,': [947, 1129], 'HamzaKheddar,': [948], 'AbdelkrimBoukabou,': [949], 'ShadiAtalla,': [950, 1134], 'AmmarChouchane,': [951], 'AbdelmalikOuamane,': [952], 'WathiqMansoor17': [953], 'Systems,': [957], '10Applications': [961], 'large': [963], 'care:': [968], 'current': [969, 1121], 'evidence': [970], 'future': [972, 1125], 'perspectivesGiovanni': [973], 'MariaIannantuono,': [974], 'DaraBracken-Clarke,': [975], 'Charalampos': [976], 'S.Floudas,': [977], 'MarioRoselli,': [978], 'L.Gulley,': [980], 'FatimaKarzai4': [981], 'Frontiers': [985], 'Oncology,': [987], '13Potential': [989], 'Mining': [996], 'Free-Text': [998], 'CT': [999], 'Reports': [1000, 1522], 'CancerMatthias': [1003], 'Fink,': [1005, 1010], 'Arved': [1006], 'Bischoff,': [1007], 'Christoph': [1008], 'Martin': [1011], 'Moll,': [1012], 'Jonas': [1013], 'Kroschke,': [1014], 'Luca': [1015], 'Dulz,': [1016], 'Claus': [1017], 'Peter': [1018], 'Heußel,': [1019], 'Hans-Ulrich': [1020], 'Kauczor,': [1021], 'Tim': [1022], 'F.': [1023], 'Weber,': [1024], '19': [1025], '308,': [1031], '3Große': [1033], 'Sprachmodelle': [1034], 'wie': [1035], 'und': [1037], 'für': [1039], 'eine': [1040], 'patientenzentrierte': [1041], 'RadiologieMatthias': [1042], 'A.Fink24': [1043], 'August': [1044, 1202, 1242], 'Die': [1047], 'Radiologie,': [1048], '63,': [1050], '9Assessing': [1052], 'AI-Powered': [1053], 'Case': [1057, 1651, 1658, 1666, 1670], 'Study': [1058], 'RadiologyIan': [1060], 'J.Kuckelman,': [1061], 'MolinnaBui,': [1064], 'IfeanyiOnuh,': [1065], 'Jade': [1066], 'A.Anderson,': [1067], 'Andrew': [1068], 'B.Ross2023Sep1': [1069], '287Exploring': [1074], 'Clinical': [1076, 1587], 'Translation': [1077], 'Like': [1081, 1321], 'ChatGPT:': [1082, 1115, 1154], 'Promise': [1083], 'Pitfalls': [1085], 'Patients': [1089], 'Population': [1091], 'HealthFlorence': [1092], 'X.Doo,': [1093], 'Tessa': [1094], 'S.Cook,': [1095], 'Eliot': [1096], 'L.Siegel,': [1097], 'AnupamJoshi,': [1098], 'VishwaParekh,': [1099], 'AmeenaElahi,': [1100], 'H.Yi2023Sep1': [1102], '9Decoding': [1114], 'taxonomy': [1117], 'existing': [1119], 'research,': [1120], 'challenges,': [1122], 'possible': [1124], 'directionsShahab': [1126], 'SaquibSohail,': [1127], 'FaizaFarhat,': [1128], 'MohammadNadeem,': [1130], 'Dag': [1131], 'ØivindMadsen,': [1132], 'YashbirSingh,': [1133], 'WathiqMansoor2023Sep1': [1135], 'King': [1139], 'Saud': [1140], '-': [1142], 'Computer': [1143], 'Sciences,': [1146], '35,': [1148], '8A': [1150], 'comprehensive': [1151], 'survey': [1152], 'Advancements,': [1155], 'applications,': [1156], 'prospects,': [1157], 'challengesAnamNazir,': [1159], 'ZeWang2023Sep1': [1160], '2Children': [1166], 'AI:': [1168], 'Protocol': [1170], 'Managing': [1172], 'Born-Digital': [1174], 'Ephemera': [1175], 'Spawned': [1176], 'AI': [1179, 1381], 'ModelsDirk': [1181], 'R.Spennemann21': [1183], 'Publications,': [1187], '3ChatGPT': [1191], 'Head': [1193, 1210], 'Neck': [1195, 1212], 'Oncology-Opportunities': [1196], 'ChallengesGautamSarma,': [1198], 'HrishikeshKashyap,': [1199], 'Partha': [1200], 'PratimMedhi31': [1201], 'Indian': [1205], 'Otolaryngology': [1208], '&': [1211, 1375], 'Surgery,': [1213, 1442], '78Large': [1215], 'Intelligence:': [1220], 'Primer': [1222], 'Plastic': [1224], 'Surgeons': [1225], 'Demonstrated': [1228], 'Potential': [1230, 1448], 'Applications,': [1231], 'Promises,': [1232], 'Limitations': [1234], 'ChatGPTJadAbi-Rafeh,': [1236], 'Hong': [1237], 'HaoXu,': [1238], 'RoyKazan,': [1239], 'RuthTevlin,': [1240], 'HeatherFurnas10': [1241], 'Aesthetic': [1245], 'Surgery': [1246, 1454], 'Journal,': [1247], '115Evaluating': [1249], 'Accuracy': [1251], 'RecommendationsHana': [1258], 'Ting': [1262], 'Lin,': [1263], 'Arlene': [1264], 'Sirajuddin,': [1265], '6': [1271], 'July': [1272, 1353], 'Cardiothoracic': [1276], '5,': [1279], '4Artificial': [1281], 'Sports': [1284], 'Medicine:': [1285], 'Could': [1286], 'Make': [1288], 'Doctors': [1290], 'Obsolete?KunmingCheng,': [1291], 'QiangGuo,': [1292], 'YongbinHe,': [1293], 'YanqiuLu,': [1294], 'RuijieXie,': [1295], 'ChengLi,': [1296], 'HaiyangWu25': [1297], 'April': [1298], 'Annals': [1301, 1356], 'Biomedical': [1303, 1358], '51,': [1306], '8Radiology': [1308], 'Reading': [1309], 'Future:': [1313], 'Harnessing': [1314], 'Power': [1316], 'ChatGPTCharitTippareddy,': [1322], 'KaustavBera,': [1324], 'NikhilRamaiya2023Aug1': [1325], '11AI-ChatGPT/GPT-4:': [1333], 'An': [1334, 1633], 'Booster': [1335], 'Development': [1338], 'Physical': [1340], 'Medicine': [1341, 1510], 'Rehabilitation': [1343], 'New': [1346, 1532, 1627], 'Era!ShengxinPeng,': [1347], 'DeqiangWang,': [1348], 'YuanhaoLiang,': [1349], 'WenshanXiao,': [1350], 'YixiangZhang,': [1351], 'LeiLiu27': [1352], '388Chat': [1361], 'Pre-Trained': [1363], 'usage': [1366], 'healthcareYanhuiZhang,': [1368], 'HaolongPei,': [1369], 'ShihanZhen,': [1370], 'QianLi,': [1371], 'FengchaoLiang2023Jul1': [1372], 'Gastroenterology': [1374], 'Endoscopy,': [1376], '3How': [1380], 'Responds': [1382], 'Questions:': [1387], 'versus': [1389], 'BardAmir': [1391], 'Ali': [1392], 'Rahsepar,': [1393], 'Neda': [1394], 'Tavakoli,': [1395], 'Grace': [1396], 'Hyun': [1397], 'J.': [1398], 'Kim,': [1399], 'Cameron': [1400], 'Hassani,': [1401], 'Fereidoun': [1402], 'Abtin,': [1403], 'Arash': [1404], 'Bedayat,': [1405], '13': [1406], 'June': [1407], 'implications': [1415], 'nanodiagnostics': [1417], 'artificial': [1419], 'intelligence': [1420], 'detecting': [1422], 'oral': [1423, 1428], 'potentially': [1424], 'malignant': [1425], 'disorders': [1426], 'squamous': [1429], 'carcinomaWeiLiu,': [1431], 'YizhouWang,': [1432], 'XiYang,': [1433], 'XueminShen,': [1434], 'LinjunShi1': [1435], '109,': [1444], '10Exploring': [1446], 'ChatGPT-4': [1450], 'Predicting': [1452], 'Refractive': [1453], 'Categorizations:': [1455], 'Comparative': [1456], 'StudyAleksandarĆirković,': [1457], 'ToamKatz28': [1458], 'JMIR': [1462], 'Formative': [1463], '7Use': [1466], 'Intelligence,': [1470], 'Including': [1471], 'Such': [1475], 'Publications:': [1480], 'Policies': [1481], 'KJR': [1483], 'Prominent': [1485], 'AuthoritiesSeong': [1486], 'HoPark2023Jan1': [1487], 'Korean': [1489], '24,': [1494], '8Application': [1496], 'Different': [1501], 'Fields': [1502], 'Oromaxillofacial': [1504], 'SurgeryArianYeganeh20': [1505], 'Healthcare': [1512], 'Technology,': [1513], '2Recommended': [1515], 'Articles': [1516], '2017': [1517], 'Surveillance': [1520, 1608], 'Consortium': [1521], 'Interpretive': [1524], 'Performance': [1525, 1562, 1594], 'at': [1526], 'Mammography:': [1530], 'Welcome': [1531], 'Data,': [1533], 'Not': [1535], 'Benchmarks': [1537], 'PracticeRadiology2017Volume:': [1539], '283Issue:': [1540, 1574], '1pp.': [1541], '7-9Community': [1542], 'Outreach': [1543], 'Imaging:': [1546], 'What': [1547], 'Radiologists': [1548], 'Can': [1549], 'Do': [1550], 'Close': [1552], 'Gap': [1554], 'Uninsured': [1557], 'PopulationRadioGraphics2023Volume:': [1558], '43Issue:': [1559], '10Does': [1560], 'Reader': [1561], 'Tomosynthesis': [1566, 1599], 'Vary': [1567], 'Experience': [1570], 'Two-dimensional': [1572], 'Mammography?Radiology2017Volume:': [1573], '2pp.': [1575], '371-380OPTIMAM': [1576], 'Mammography': [1577, 1584, 1628], 'Image': [1578], 'Database:': [1579], 'Large-Scale': [1581], 'Resource': [1582], 'Images': [1585], 'DataRadiology:': [1588], 'Intelligence2020Volume:': [1590], '3Issue:': [1591], '1New': [1592], 'Metrics': [1595], 'U.S.': [1601], 'Community': [1602], 'Practice': [1603], 'ConsortiumRadiology2023Volume:': [1609], '307Issue:': [1610], '4See': [1611], 'More': [1612], 'RSNA': [1613, 1650, 1665], 'Education': [1614], 'Exhibits': [1615], 'Certifications,': [1616], 'Audits,': [1617], 'And': [1618], 'National': [1619], 'Benchmarks:': [1620], 'Breaking': [1621], 'Down': [1622], 'Basics': [1624], 'For': [1625], 'AttendingDigital': [1629], 'Posters2021Next': [1630], 'Top': [1631], 'Model:': [1632], 'Overview': [1634], 'Risk': [1638], 'Assessment': [1639], 'ModelsDigital': [1640], 'Posters2022Hiding': [1641], 'Plain': [1643], 'Sight:': [1644], 'Cancers': [1645], 'Dense': [1647], 'BreastsDigital': [1648], 'Posters2022': [1649], 'Collection': [1652], 'Secondary': [1653], 'Angiosarcoma': [1654], 'BreastRSNA': [1657], 'Collection2021Breast': [1659], 'density': [1660], 'change': [1661], 'hormone': [1663], 'replacement': [1664], 'Collection2021Invasive': [1667], 'Lobular': [1668], 'CarcinomaRSNA': [1669], 'Collection2021': [1671], 'PodcastMetrics': [1676], 'Altmetric': [1677], 'Score': [1678], 'PDF': [1679], 'download': [1680]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4362521774', 'counts_by_year': [{'year': 2024, 'cited_by_count': 105}, {'year': 2023, 'cited_by_count': 62}], 'updated_date': '2024-12-24T03:51:35.725845', 'created_date': '2023-04-06'}