Use of Chest CT in Combination with Negative RT-PCR Assay for the 2019 Novel Coronavirus but High Clinical Suspicion

Name: Work Video:
Duration: 3 min 30 s
Peikai Huang; Tianzhu Liu; Lesheng Huang; Hailong Liu; Ming Lei; Wangdong Xu; Xiaolu Hu; Jun Chen; Bo Liu
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[1316], 'GF,': [1317], 'Tan': [1318, 1650], 'W;': [1319], 'Investigating': [1323], 'Research': [1325, 1805, 2771], 'Team..': [1326], 'from': [1330, 2085, 2397, 2505, 2827, 2938, 2982, 3521], 'Patients': [1331, 2291, 3252], 'Pneumonia': [1333, 2294, 2442, 2574], '2019.': [1336], 'N': [1337], 'Engl': [1338], 'J': [1339], 'Med': [1340], 'doi:': [1341], '10.1056/NEJMoa2001017.': [1342], 'online': [1344, 1390], 'January': [1345, 1682], '24,': [1346, 2225, 3460], '2020.': [1347, 1367, 1371, 1387, 1393], 'Google': [1348, 1372, 1394], 'Scholar2.': [1349], 'FDA.': [1350], 'Fact': [1351], 'sheet': [1352], 'healthcare': [1354], 'providers:': [1355], 'CDC': [1356], '-': [1357, 2877], 'Real-Time': [1359], 'Diagnostic': [1361, 2322, 3130], 'Panel.': [1362], 'https://www.fda.gov/media/134920/download.': [1363], 'February': [1365, 1369, 1391], '4,': [1366, 1808, 2096], 'Accessed': [1368], '6,': [1370, 1392, 2155], 'Scholar3.': [1373], 'Shan': [1378], 'et': [1380], 'al.': [1381], 'Emerging': [1382], 'Pneumonia.': [1385], 'Radiology': [1386, 3400], 'https://doi.org/10.1148/radiol.2020200274.': [1388], 'ScholarArticle': [1395], 'HistoryReceived:': [1396], 'Feb': [1397, 1401, 1405, 1408, 1412], '6': [1398], '2020Revision': [1399, 1403], 'requested:': [1400], '7': [1402, 1406], 'received:': [1404], '2020Accepted:': [1407], '9': [1409], '2020Published': [1410, 1414], 'online:': [1411], 'print:': [1416], 'Apr': [1417], '2020': [1418], 'FiguresReferencesRelatedDetailsCited': [1419], 'ByCOVID-19': [1420], 'Computed': [1421, 1583, 1629], 'tomography': [1422, 1971, 2352, 2417, 2447], 'patterns': [1423, 2418, 2758], 'renal': [1425, 1492, 2194], 'replacement': [1426], 'therapy': [1427], 'patientsGabriel': [1428], 'Assis': [1429, 1494], 'Lopes': [1430, 1495], 'doCarmo,': [1431, 1445, 1496, 1510], 'Mariana': [1432, 1457, 1497, 1522], 'PaivaOliveira,': [1433, 1498], 'Anna': [1434, 1499], 'Luiza': [1435, 1500, 3483], 'LinoCampos,': [1436, 1501], 'Bráulio': [1437, 1502], 'Roberto': [1438, 1503], 'Gonçalves': [1439, 1504], 'MarinhoCouto,': [1440, 1505], 'Lilian': [1441, 1506], 'Pires': [1442, 1507], 'de': [1443, 1483, 1508], 'Freitas': [1444, 1509], 'Tiago': [1446, 1511], 'LemosCerqueira,': [1447, 1512], 'Camila': [1448, 1513], 'Alencar': [1449, 1514], 'Monteiro': [1450, 1515], 'deSouza,': [1451, 1456, 1516, 1521], 'Yan': [1452, 1517], 'LopesGoll,': [1453, 1518], 'Vitor': [1454, 1519], 'Santos': [1455, 1520], 'Oliveira': [1458, 1523], 'GuimarãesVieira,': [1459, 1524], 'Pedro': [1460, 1465, 1525, 1530], 'Alves': [1461, 1526], 'Soares': [1462, 1527], 'Vaz': [1463, 1528], 'deCastro,': [1464, 1529], 'Augusto': [1466, 1531], 'BotelhoLemos,': [1467, 1532], 'Ana': [1468, 1533], 'Cristina': [1469, 1534], 'Simões': [1470, 1535], 'eSilva1': [1471, 1536], 'September': [1472, 1537], '2024': [1473, 1538, 1569, 1607, 1683, 2459], '|': [1474, 1539, 1570, 1608, 1652, 1684, 1724, 1754, 1777, 1803, 1862, 1899, 1919, 1955, 2005, 2028, 2065, 2091, 2124, 2147, 2178, 2221, 2238, 2284, 2310, 2342, 2379, 2401, 2429, 2460, 2490, 2522, 2545, 2567, 2598, 2617, 2641, 2663, 2710, 2735, 2770, 2795, 2818, 2838, 2858, 2875, 2957, 2990, 3017, 3036, 3091, 3113, 3144, 3178, 3203, 3236, 3265, 3307, 3332, 3357, 3381, 3399, 3424, 3452, 3501], 'Brazilian': [1475, 1540], 'Journal': [1476, 1541, 1572, 1610, 1956, 2030, 2148, 2430, 2462, 2737, 3037, 3425, 3454], 'Nephrology,': [1478, 1543, 2223], 'Vol.': [1479, 1544, 1576, 1614, 1659, 1688, 1731, 1756, 1780, 1807, 1867, 1903, 1923, 1961, 2008, 2033, 2068, 2095, 2127, 2154, 2185, 2224, 2244, 2288, 2312, 2344, 2409, 2434, 2465, 2492, 2528, 2547, 2570, 2601, 2620, 2647, 2665, 2715, 2745, 2775, 2798, 2821, 2840, 2861, 2888, 2964, 2995, 3020, 3041, 3094, 3117, 3146, 3182, 3209, 3241, 3270, 3312, 3336, 3362, 3383, 3404, 3432, 3459, 3509], '46,': [1480, 1545, 2746], '3Padrões': [1482], 'tomografia': [1484], 'computadorizada': [1485], 'da': [1486], 'COVID-19': [1487, 1554, 1590, 1597, 1704, 1766, 1790, 1939, 1995, 2057, 2083, 2143, 2189, 2233, 2293, 2326, 2395, 2473, 2553, 2757, 2814, 2825, 2865, 2936, 2980, 3008, 3022, 3251, 3284, 3324, 3348, 3369, 3469, 3479], 'em': [1488, 1490], 'pacientes': [1489], 'terapia': [1491], 'substitutivaGabriel': [1493], '3Predicting': [1547], 'prognosis': [1549, 2012], 'patients': [1551, 1705, 2016, 2191, 2361, 3052], 'mild': [1553], 'by': [1555, 2444, 2576, 3027], 'based': [1558, 1706], 'machine': [1560], 'learningBingJi,': [1561], 'LiKong,': [1562], 'JianWang,': [1563], 'ChenLiu,': [1564], 'KaiyiYuan,': [1565], 'LiqiangZhu,': [1566], 'HongqinLiang5': [1567], 'April': [1568], 'Academic': [1574], '7,': [1577, 1962], '2Outcome': [1579], 'Resolution': [1582], 'Tomography': [1584, 1641], '(HRCT)': [1585], 'Scan': [1586, 3024], 'Affected': [1591], 'Patients:': [1592], 'Study': [1594, 3436], 'Dedicated': [1598], 'HospitalMarzukAhamed,': [1599], 'MohammadSikder,': [1600], 'MohammadRahman,': [1601, 1603], 'SohelSumon,': [1602], 'AbdurAkanda,': [1604], 'MohammadAbedin24': [1605], 'May': [1606, 2565], 'International': [1609, 2037, 2893, 2907, 2925], 'Medical': [1612, 1686, 1900, 2108, 2125, 2297, 2432, 2461, 3457], 'Imaging,': [1613, 1637], '12,': [1615], '2Evaluating': [1617], 'Acute': [1618], 'Changes': [1620], 'Disease': [1623, 2316, 2578, 2722, 3446], '2019:': [1624, 2020], 'Comparative': [1626], 'Analysis': [1627], 'Tomography,': [1630], 'Radiography,': [1632, 2839], 'Lung': [1633, 2329], 'Ultrasound,': [1634, 1655], 'Magnetic': [1635], 'Resonance': [1636], 'Positron': [1639], 'Emission': [1640], 'Fluorodeoxyglucose': [1643], 'ModalitiesIanGriffin,': [1644], 'RonakKundalia,': [1645], 'BruceSteinberg,': [1646], 'JoiceProdigios,': [1647], 'NupurVerma,': [1648], 'BrunoHochhegger,': [1649], 'L.Mohammed2024Feb1': [1651], 'Seminars': [1653], 'MRI,': [1658], '29Diagnostic': [1660], 'performance': [1661], 'between': [1662, 1965, 2132, 2411], 'outpatients': [1668], 'clinically': [1670], 'suspected': [1671], 'COVID-19ElifTükenmez': [1672], 'Tigen,': [1673], 'BuketErturk': [1674], 'Sengel,': [1675], 'CananCimsit,': [1676], 'HandePerk': [1677], 'Gurun,': [1678], 'ÇiğdemApaydın': [1679], 'Kaya,': [1680], 'VolkanKorten28': [1681], 'Marmara': [1685], 'Journal,': [1687, 1922], '37,': [1689, 2034], '1Nanomolecular': [1691], 'imprinted': [1692], 'templates': [1693], 'virus': [1695], 'detectionYeşerenSaylan,': [1696], 'ZeynepGerdan,': [1697], 'MerveÇalışır,': [1698], 'AdilDenizli2024Jan1A': [1699], 'model': [1701, 2755], 'detect': [1703, 2538], 'Convolution': [1708], 'Neural': [1709, 2998], 'Network': [1710, 1875], 'via': [1711], 'l1': [1712], 'regularizationChrispinJiji,': [1713], 'AnnieBessant,': [1714], 'K.': [1715], 'MartinSagayam,': [1716], 'A.': [1717, 2371], 'AmirAnton': [1718], 'Jone,': [1719], 'HatıraGünerhan,': [1720], 'AlphonseHouwe18': [1721], 'June': [1722, 2639], '2023': [1723, 1753, 1802, 1861], 'Applied': [1725, 2958], 'Mathematics': [1726], 'Science': [1728, 2739], 'Engineering,': [1730, 2646, 2774, 3040], '31,': [1732, 1757], '1Recent': [1734, 3185], 'advances': [1735], 'anti-inflammatory': [1737], 'active': [1738], 'components': [1739], 'action': [1741], 'mechanisms': [1742], 'natural': [1744], 'medicinesZhiminWu,': [1745], 'TaoZhang,': [1746], 'XiaofeiMa,': [1747], 'ShuaiGuo,': [1748], 'QingqingZhou,': [1749], 'ArshadZahoor,': [1750], 'GanzhenDeng10': [1751], 'November': [1752, 2427], 'Inflammopharmacology,': [1755], '6A': [1759], 'deep': [1760, 2753, 2805, 2832], 'convolution': [1761], 'neural': [1762, 2833], 'network': [1763, 2834], 'automated': [1765], 'disease': [1767, 2019, 2195, 2613, 2684, 3154], 'detection': [1768, 2058, 2504, 2759, 2823], 'using': [1769, 1910, 2831, 2848], 'X-ray': [1771, 2060, 2507, 2761, 2829, 2849, 3373, 3523], 'imagesRajasekaranThangaraj,': [1772], 'PandiyanP,': [1773], 'JayabrabuRamakrishnan,': [1774], 'NallakumarR,': [1775], 'SivaramanEswaran2023Dec1': [1776], 'Healthcare': [1778, 2819, 3039], 'Analytics,': [1779, 2820], '4LSAE:': [1781], 'Autoencoder': [1782], 'Latent': [1783], 'Space': [1784], 'Dimensionality': [1786], 'Reduction-Based': [1787], 'Approach': [1788], 'Classification': [1791, 2112, 3005], 'Detection': [1793, 2084, 2327, 2846, 2937, 3370, 3520], 'Task': [1794], 'Using': [1795, 2295, 2331, 2942, 3253, 3274], 'X-rayYounesBouchlaghem,': [1797], 'YassineAkhiat,': [1798], 'KaoutharTouchanti,': [1799], 'SouadAmjad2': [1800], 'December': [1801, 2615], 'Operations': [1804], 'Forum,': [1806], '4Safety,': [1810], 'tolerability,': [1811], 'immunogenicity': [1813, 2551], 'CpG/Alum': [1816], 'adjuvanted': [1817], 'SARS-CoV-2': [1818, 2539, 2693, 3124, 3192], 'recombinant': [1819], 'protein': [1820, 2138], 'vaccine': [1821], '(ZR202-CoV)': [1822], 'healthy': [1824], 'adults:': [1825], 'Preliminary': [1826], 'report': [1827], 'phase': [1830], '1,': [1831], 'randomized,': [1832], 'double-blind,': [1833], 'placebo-controlled,': [1834], 'dose-escalation': [1835], 'trialGuang-WeiFeng,': [1836], 'Zhong-FangWang,': [1837], 'PengHe,': [1838], 'Qin-YingLan,': [1839], 'LingNi,': [1840], 'Ya-ZhengYang,': [1841], 'Chen-FeiWang,': [1842], 'Ting-TingCui,': [1843], 'Li-LiHuang,': [1844], 'Yong-QiangYan,': [1845], 'Zhi-WeiJiang,': [1846], 'QingYang,': [1847], 'Bang-WeiYu,': [1848], 'XiHan,': [1849], 'Jing-JingChen,': [1850], 'Shu-YuanYang,': [1851], 'LinYuan,': [1852], 'Ling-YunZhou,': [1853], 'GeLiu,': [1854], 'KeLi,': [1855], 'ZhenHuang,': [1856], 'Jin-CunZhao,': [1857], 'Zhong-YuHu,': [1858], 'Zhi-QiangXie26': [1859], 'October': [1860], 'Human': [1863, 2006], 'Vaccines': [1864], '&': [1865, 3507], 'Immunotherapeutics,': [1866], '19,': [1868], '2AIGAN:': [1870], 'Attention–encoding': [1871], 'Integrated': [1872], 'Generative': [1873], 'Adversarial': [1874], 'reconstruction': [1878], 'low-dose': [1880, 1883], 'PET': [1884], 'imagesYuFu,': [1885], 'ShunjieDong,': [1886], 'MengNiu,': [1887], 'LeXue,': [1888], 'HanningGuo,': [1889], 'YanyanHuang,': [1890], 'YuanfanXu,': [1891], 'TianbaiYu,': [1892], 'KuangyuShi,': [1893], 'QianqianYang,': [1894], 'YiyuShi,': [1895], 'HongZhang,': [1896, 2280], 'MeiTian,': [1897], 'ChengZhuo2023May1': [1898], 'Image': [1901, 2931, 3025], 'Analysis,': [1902], '86Smart': [1904], 'IoMT-based': [1905], 'segmentation': [1906, 2393], 'infections': [1909], 'lung': [1911], 'scansMohamed': [1913], 'EsmailKarar,': [1914], 'Z.': [1915], 'FaizalKhan,': [1916], 'HussainAlshahrani,': [1917], 'OmarReyad2023Apr1': [1918], 'Alexandria': [1920], 'Engineering': [1921], '69EAI/Springer': [1924], 'Innovations': [1925, 2667], 'Communication': [1927, 2669], 'ComputingNorliza': [1929], 'Mohd.Noor,': [1930], 'Muhammad': [1931], 'SamerSallam2023Congruence': [1932], 'radiological': [1934, 1947], 'scoring': [1935], 'systems': [1936], 'used': [1937], 'effect': [1942], 'comorbid': [1944], 'diseases': [1945], 'featuresHasanÖlmez,': [1948], 'MustafaTosun,': [1949], 'EdhemÜnver,': [1950], 'DemetÖzer,': [1951], 'ErdalKaravas,': [1952], 'Yusuf': [1953], 'KemalArslan2023': [1954], 'Surgery': [1958], '1Comparison': [1964], 'accuracy': [1967], 'computerized': [1970, 2446], 'vs.': [1972], 'reverse': [1973], 'transcriptase': [1974], 'tertiary': [1980], 'care': [1981], 'center': [1982], 'Lebanon;': [1984], 'along': [1985], 'their': [1987, 2166], 'correlation': [1988], 'mortality,': [1990], 'morbidity': [1991], 'patientsNoorHanania,': [1996], 'ElieNajem,': [1997], 'HaniTamim,': [1998], 'NadaAssaf,': [1999], 'GhaidaaMajari,': [2000], 'WaelYounes,': [2001], 'FatmehAbbas,': [2002], 'GhinaBerjawi,': [2003], 'RamiMahfouz2023': [2004], 'Gene,': [2007], '35Clinical': [2009], 'presentations': [2010], 'delirium': [2014], 'prospective': [2022, 2169], 'cohort': [2023, 2212], 'analysisRiddhiJamubhaiBhagora,': [2024], 'PradhyumanChaudhary,': [2025], 'DharshniRamar,': [2026], 'PrakashMehta2023': [2027], 'Taiwanese': [2029], 'Psychiatry,': [2032], '12023': [2036], 'Conference': [2038, 2894, 2908, 2926], 'Business': [2040], 'Analytics': [2041], 'Technology': [2043], 'Security': [2045], '(ICBATS)N.E.Kaviya,': [2046], 'Dr.': [2047], 'S.Gheena2023RETRACTED': [2048], 'ARTICLE:': [2049], 'topic-based': [2051], 'hierarchical': [2052], 'publish/subscribe': [2053], 'messaging': [2054], 'middleware': [2055], 'image': [2061], 'its': [2063], 'metadataSüleymanEken2023': [2064], 'Soft': [2066, 2962], 'Computing,': [2067, 2963], '27,': [2069], '5Algorithms': [2071], 'Intelligent': [2073], 'SystemsAfeefaRafeeque,': [2074], 'RashidAli2023Utilizing': [2075], 'Deep': [2076, 2229, 2332, 2851, 2970, 3275, 3365, 3516], 'Learning': [2077, 2081, 2230, 2240, 2971, 3002, 3276, 3366], 'Models': [2078], 'Transfer': [2080, 3001], 'X-Ray': [2086, 2940, 2984], 'ImagesShubhamAgrawal,': [2087], 'VenkateshHonnakasturi,': [2088], 'MadhumithaNara,': [2089], 'NagammaPatil2023': [2090], 'SN': [2092], 'Computer': [2093, 2402], 'Science,': [2094, 2744], '4Development': [2098], 'Artificial': [2100], 'Intelligence': [2101, 2960, 2992], 'Based': [2102, 2624, 2968, 3289], 'Decision': [2104], 'Support': [2105], 'System': [2106, 2847], 'COVID-19CemilÇOLAK,': [2114], 'Ahmet': [2115], 'KadirARSLAN,': [2116], 'HasanUCUZAL,': [2117], 'AdemKÖSE,': [2118], 'İsmail': [2119], 'OkanYILDIRIM,': [2120], 'EmekGÜLDOĞAN,': [2121], 'Mehmet': [2122], 'CengizÇOLAK2023': [2123], 'Records,': [2126], '5,': [2128, 2245], '1The': [2130], 'relationship': [2131], 'thoracic': [2133], 'C-reactive': [2137], 'ferritin': [2140], 'levels': [2141], 'patientsSemihSAĞLIK,': [2144], 'NecipNAS,': [2145], 'BilalALTUNIŞIK2023': [2146], 'Health': [2150], 'Sciences': [2151], "3Wharton's": [2157], 'jelly': [2158], 'mesenchymal': [2159], 'stem': [2160], 'cells:': [2161], 'concise': [2163, 2542], 'review': [2164, 3159], 'secretome': [2167], 'applicationsHanaDrobiova,': [2171], 'SardarSindhu,': [2172], 'RasheedAhmad,': [2173], 'DaniaHaddad,': [2174], 'FahdAl-Mulla,': [2175], 'AshrafAl': [2176], 'Madhoun2023': [2177], 'Frontiers': [2179, 2285, 3204, 3237, 3266, 3308, 3333, 3358], 'Cell': [2181], 'Developmental': [2183], 'Biology,': [2184], '11Clinical': [2186], 'features': [2187, 3151], 'among': [2190], 'end-stage': [2193], 'hemodialysis': [2197], 'high': [2202, 2812], 'vaccination': [2203], 'coverage': [2204], 'during': [2205, 2691], 'omicron': [2207], 'surge': [2208], 'period:': [2209], 'retrospective': [2211, 2262], 'studyNam-SeonBeck,': [2213], 'SoominSong,': [2214], 'TaesungPark,': [2215], 'So-HyeonHong,': [2216], 'JangJeong-Eun,': [2217], 'Kyoung-HwanKim,': [2218], 'Joung-IlIm,': [2219], 'Sae-YongHong2023': [2220], 'BMC': [2222], '1CovC-ReDRNet:': [2227], 'Model': [2231, 2323], 'ClassificationHanruoZhu,': [2234], 'ZiquanZhu,': [2235], 'ShuihuaWang,': [2236], 'YudongZhang2023': [2237], 'Machine': [2239, 2928], 'Knowledge': [2242], 'Extraction,': [2243], '3Metabolomics': [2247], 'acts': [2248], 'powerful': [2251], 'tool': [2252], 'comprehensively': [2254], 'evaluating': [2255], 'vaccines': [2256], 'approved': [2257], 'under': [2258], 'emergency:': [2259], 'CoronaVac': [2261], 'studyXinyuLiu,': [2263], 'CongshuXiao,': [2264], 'PengweiGuan,': [2265], 'QianqianChen,': [2266], 'LeiYou,': [2267], 'HongweiKong,': [2268], 'WangshuQin,': [2269], 'PengDou,': [2270], 'QiLi,': [2271], 'YanjuLi,': [2272], 'YingJiao,': [2273], 'ZhiweiZhong,': [2274], 'JunYang,': [2275], 'XiaolinWang,': [2276], 'QingqingWang,': [2277], 'JinhuiZhao,': [2278], 'ZhiliangXu,': [2279], 'RongkuanLi,': [2281], 'PengGao,': [2282], 'GuowangXu2023': [2283], 'Immunology,': [2287], '14Diagnostic': [2289], 'Passive': [2296], 'Microwave': [2298], 'Radiometry': [2299], '(MWR)BerikEmilov,': [2300], 'AleksanderSorokin,': [2301], 'MederSeiitov,': [2302], 'Binsei': [2303], 'ToshiKobayashi,': [2304], 'TulegenChubakov,': [2305], 'SergeyVesnin,': [2306], 'IllarionPopov,': [2307], 'AleksandraKrylova,': [2308], 'IgorGoryanin2023': [2309], 'Diagnostics,': [2311], '13,': [2313, 3118], '15Coronavirus': [2315], '(COVID‐19)Brian': [2318], 'P.Pogatchnik,': [2319], 'WakanaMurakami,': [2320], 'ShabnamMortazavi2023Hybrid': [2321], 'Improved': [2325], 'Radiographs': [2330], 'FeaturesImran': [2335], 'ArshadChoudhry,': [2336], 'Adnan': [2337], 'N.Qureshi,': [2338], 'KhursheedAurangzeb,': [2339], 'SaeedIqbal,': [2340], 'MusaedAlhussein2023': [2341], 'Biomimetics,': [2343], '8,': [2345, 2493], '5Comparison': [2347], 'ultrasound': [2349, 2674], 'signs,': [2350], 'computed': [2351, 2416, 3059], 'data': [2353], 'morphological': [2355], 'examination': [2356], 'infection:': [2364], 'post': [2365], 'hoc': [2366], 'analysisRoman': [2367], 'E.Lakhin,': [2368], 'E.': [2369], 'A.Zhirnova,': [2370], 'V.Shchegolev,': [2372], 'I.': [2373], 'S.Zheleznyak,': [2374], 'V.': [2375], 'S.Chirsky,': [2376], 'D.': [2377], 'Y.Pluminsky2023': [2378], 'Annals': [2380], 'Critical': [2382], 'Care,': [2383, 3431], '3MCA-Unet:': [2385], 'multiscale': [2387], 'aggregation': [2389], 'U-Net': [2390], 'lesions': [2396], 'imagesAlyaaAmer,': [2399], 'XujiongYe2023Jan1': [2400], 'Methods': [2403], 'Programs': [2405], 'Biomedicine': [2407], 'Update,': [2408], '4Association': [2410], 'emphysema': [2412], 'other': [2414], 'pulmonary': [2415], 'COVID‐19': [2420], 'pneumoniaKeHan,': [2421], 'JingWang,': [2422], 'YulinZou,': [2423], 'YuxinZhang,': [2424], 'LinZhou,': [2425], 'YipingYin17': [2426], '2022': [2428, 2566, 2640], 'Virology,': [2433], '95,': [2435], '1Detection': [2437], 'severity': [2439], 'COVID-19:': [2441, 3049, 3215], 'Kirkuk': [2451], 'CityAbdullah': [2452], 'AdilRaoof,': [2453], 'Assad': [2454], 'MubarakJabbar,': [2455], 'Mohammed': [2456], 'AliKHalaf29': [2457], 'March': [2458], 'Babylon,': [2464], '20,': [2466], 'Supplement': [2468], '1Model': [2469], 'exploration': [2470], 'discovering': [2472], 'targeted': [2474], 'traditional': [2475], 'medicineYutingSun,': [2477], 'XuedongAn,': [2478], 'DeJin,': [2479], 'LiyunDuan,': [2480], 'YuehongZhang,': [2481], 'CunqingYang,': [2482], 'YingyingDuan,': [2483], 'RongrongZhou,': [2484], 'YiruZhao,': [2485], 'YuqingZhang,': [2486], 'XiaominKang,': [2487], 'LinlinJiang,': [2488], 'FengmeiLian2022Dec1': [2489], 'Heliyon,': [2491], '12LCSB-inception:': [2495], 'Reliable': [2496], 'effective': [2498, 2750], 'light-chroma': [2499], 'separated': [2500], 'branches': [2501], 'Covid-19': [2503, 3519], 'imagesChiagoziem': [2508], 'C.Ukwuoma,': [2509], 'ZhiguangQin,': [2510], 'Victor': [2511], 'KwakuAgbesi,': [2512], 'Chukwuebuka': [2513], 'J.Ejiyi,': [2514], 'OlusolaBamisile,': [2515], 'Ijeoma': [2516], 'A.Chikwendu,': [2517], 'Bole': [2518], 'WTienin,': [2519], 'Md': [2520], 'AltabHossin2022Nov1': [2521], 'Computers': [2523], 'Biology': [2525], '150A': [2529], 'comparison': [2530], 'conventional': [2532], 'advanced': [2534], 'electroanalytical': [2535], 'methods': [2536], 'virus:': [2540], 'reviewPattan-SiddappaGanesh,': [2543], 'Sang-YounKim2022Nov1': [2544], 'Chemosphere,': [2546], '307Safety,': [2548], 'efficacy,': [2549], 'vaccines;': [2554], 'systematic': [2556, 3158], 'reviewNeelamAsghar,': [2557], 'HassanMumtaz,': [2558], 'Abdul': [2559], 'AhadSyed,': [2560], 'FareaEqbal,': [2561], 'ReejuMaharjan,': [2562], 'AdityaBamboria,': [2563], 'ManishShrestha1': [2564], 'Immunological': [2568], '45,': [2571], '4Suspected': [2573], 'Caused': [2575], 'After': [2580], 'Kidney': [2581], 'Transplantation:': [2582], 'Case': [2584], 'ReportYuKijima,': [2585], 'TomokazuShimizu,': [2586], 'ShinyaKato,': [2587], 'EriSekido,': [2588], 'KanaKano,': [2589], 'MakotoToguchi,': [2590], 'ToshihideHoriuchi,': [2591], 'TaijiNozaki,': [2592], 'KazuyaOmoto,': [2593], 'MasashiInui,': [2594], 'HiroshiToma,': [2595], 'ShoichiIida,': [2596], 'ToshioTakagi2022Jul1': [2597], 'Transplantation': [2599], 'Proceedings,': [2600], '54,': [2602], '6Current': [2604], 'strategies': [2605], 'diagnostics': [2607], 'therapeutics': [2609], 'against': [2610], '(COVID-19)FAISALALOTAIBI30': [2614], '2021': [2616], 'Acta': [2618], 'Pharmaceutica,': [2619], '72,': [2621], '2Energy': [2623], 'Segmentation': [2625, 3026], 'Lungs': [2627], 'Surrounding': [2628], 'Pulmonic': [2629], 'Diffusion': [2630], 'Images.Muhammad': [2633], 'JunaidKhan,': [2634], 'LubnaFarhi,': [2635], 'HassanImam,': [2636], 'Farhan': [2637], 'UrRehman8': [2638], 'VFAST': [2642], 'Transactions': [2643, 2742], 'Software': [2645, 2859], '10,': [2648], '2Methods': [2650], 'Molecular': [2652, 3239, 3268, 3310], 'BiologyAmirhosseinSahebkar,': [2653], 'MitraAbbasifard,': [2654], 'SamiraChaibakhsh,': [2655], 'Paul': [2656], 'C.Guest,': [2657], 'Mohamad': [2658], 'AminPourhoseingholi,': [2659], 'AmirVahedian-Azimi,': [2660], 'PrashantKesharwani,': [2661], 'TannazJamialahmadi2022': [2662], ',': [2664], '2511EAI/Springer': [2666], 'ComputingAhmad': [2671], 'M.Karim,': [2672], 'AlokMishra2022Point-of-care': [2673], '(PoCUS)': [2675], 'early': [2678, 3346], 'diagnosis': [2679, 3388], '(COVID-19)': [2685], 'first-level': [2688], 'emergency': [2689], 'department': [2690], 'outbreak': [2694], 'Italy:': [2696], 'real-life': [2698], 'analysisSimoneBianchi,': [2699], 'CaterinaSavinelli,': [2700], 'ElisaPaolucci,': [2701], 'LorenzoPelagatti,': [2702], 'EricaSibona,': [2703], 'NataliaFersini,': [2704], 'MicheleBuggea,': [2705], 'CamillaTozzi,': [2706], 'GermanaAllescia,': [2707], 'DianaPaolini,': [2708], 'MicheleLanigra2022': [2709], 'Internal': [2711], 'Emergency': [2713], '17,': [2716, 3095], '1Clinical': [2718], 'Characteristics': [2719], '(COVID-19):': [2724], 'Comparison': [2726, 3050], 'Between': [2727], 'Laboratory-Confirmed': [2728], 'Clinically': [2730], 'Suspected': [2731], 'PatientsQiLi,': [2732], 'Meng-tingJiang,': [2733], 'Su-eYuan2022': [2734], 'Iranian': [2736], 'Technology,': [2741], 'A:': [2743], '1Towards': [2748], 'efficient': [2752], 'learning': [2754, 2806], 'imagesEduardoLuz,': [2762], 'PedroSilva,': [2763], 'RodrigoSilva,': [2764], 'LudmilaSilva,': [2765], 'JoãoGuimarães,': [2766], 'GustavoMiozzo,': [2767], 'GladstonMoreira,': [2768], 'DavidMenotti2022': [2769], 'Biomedical': [2773], '38,': [2776], '1Thoracic': [2778], 'sarcopenia': [2779], 'predictive': [2782], 'factor': [2783], 'SARS-COV2': [2785], 'evolutionJ.Koehler,': [2786], 'Y.Boirie,': [2787], 'L.Bensid,': [2788], 'B.Pereira,': [2789], 'N.Ghelis,': [2790], 'C.Dupuis,': [2791], 'A.Tournadre,': [2792], 'L.Boyer,': [2793], 'L.Cassagnes2022': [2794], 'Nutrition,': [2797], '41,': [2799], '12An': [2801], 'evaluation': [2802], 'lightweight': [2804], 'techniques': [2807], 'medical': [2809], 'imaging': [2810, 3150, 3343], 'precision': [2813], 'diagnosticsOgechukwuUkwandu,': [2815], 'HananHindy,': [2816], 'ElochukwuUkwandu2022': [2817], '2Automated': [2822], 'cases': [2826], 'images': [2830], 'XGBoostH.Nasiri,': [2836], 'S.Hasani2022': [2837], '28,': [2841], '3COV-ADSX:': [2843], 'An': [2844, 3255], 'Automated': [2845], 'Images,': [2850], 'Learning,': [2852], 'XGBoost': [2854], 'COVID-19SharifHasani,': [2856], 'HamidNasiri2022': [2857], 'Impacts,': [2860], '11One': [2862], 'year': [2863], 'pandemic:': [2866], 'what': [2867], 'we': [2868], 'Radiologists': [2869], 'have': [2870], 'learned': [2871], 'about': [2872], 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'CompressionFatmaTaher,': [2944], 'T.Haweel,': [2946], 'H.Al': [2949], 'I.Haweel,': [2954], 'Francesco': [2955], 'CarloMorabito2022': [2956], 'Computational': [2959, 2991], '2022A': [2965], 'Framework': [2967], 'ANOVA': [2973], 'Feature': [2974], 'Selection': [2975], 'Method': [2976], 'Diagnosis': [2978, 3223], 'Cases': [2981], 'ImagesHamidNasiri,': [2985], 'Seyed': [2986], 'AliAlavi,': [2987], 'Thippa': [2988], 'ReddyG2022': [2989], 'Neuroscience,': [2994], '2022Optimizing': [2996], 'Convolutional': [2997], 'Networks': [2999, 3517], 'Making': [3004], 'Report': [3006], 'X-Rays': [3010], 'ScansSaminaAmin,': [3011], 'BaderAlouffi,': [3012], 'IrfanUddin,': [3014], 'WaelAlosaimi,': [3015], 'ShengDu2022': [3016], 'Scientific': [3018], 'Programming,': [3019], '2022Efficient': [3021], 'Automatic': [3028], 'Clustering': [3029], 'AlgorithmBasu': [3030], 'DevShivahare,': [3031], 'S.': [3032], 'K.Gupta,': [3033], 'Suneet': [3034], 'KumarGupta2022': [3035], '2022Clinical': [3042], 'findings,': 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'SaiZhang,': [3111], 'Yu-PingTang2022': [3112], 'Aging': [3114], 'disease,': [3116], '5Recent': [3120], 'Advances': [3121], 'Understanding': [3123], 'Infection': [3125], 'Updates': [3127], 'Potential': [3129], 'Therapeutics': [3132], 'COVID-19DaminiVerma,': [3134], 'Amit': [3135], 'K.Yadav,': [3136], 'NavneetChaudhary,': [3137], 'Maumita': [3138], 'D.Mukherjee,': [3139], 'PramodKumar,': [3140], 'AnilKumar,': [3141], 'Pratima': [3142], 'R.Solanki2022': [3143], 'Coronaviruses,': [3145], '3,': [3147], '4Chest': [3149], 'pneumonia:': [3156], 'meta-analysisSoon': [3161], 'K.LOW,': [3162], 'Mai': [3163], 'N.LUU,': [3164], 'Le': [3165, 3172], 'H.MINH,': [3166], 'AbdelazizABDELAAL,': [3167], 'SzeJIA': [3168], 'NG,': [3169], 'Abdelrahman': [3170], 'G.GAD,': [3171], 'H.NHI,': [3173], 'Tran': [3174], 'N.LE,': [3175], 'Nguyen': [3176], 'T.HUY2022': [3177], 'Minerva': [3179], 'Respiratory': [3180], '61,': [3183], 'Progresses': [3186], 'Electrochemical': [3188], 'DNA': [3189], 'Biosensors': [3190], 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[3261], 'AliGolchin,': [3262], 'ShivaGholizadeh-Ghaleh': [3263], 'Aziz2022': [3264], '9Exploring': [3271], 'New': [3272], 'Characteristics:': [3273], '3D': [3278], 'Reconstruction': [3279], 'Compare': [3281], 'Its': [3286], 'Delta': [3287], 'Variant': [3288], 'CTNaBai,': [3292], 'RuikaiLin,': [3293], 'ZhiweiWang,': [3294], 'ShengyanCai,': [3295], 'JianliangHuang,': [3296], 'ZhongruiSu,': [3297], 'YuanzhenYao,': [3298], 'FangWen,': [3299], 'HanLi,': [3300], 'YuxinHuang,': [3301], 'YiZhao,': [3302], 'TaoXia,': [3303], 'MingshengLei,': [3304], 'WeizhenYang,': [3305], 'ZhaowenQiu2022': [3306], '9Discussing': [3313], 'Effect': [3315], "Students'": [3317], 'Crisis': [3318], 'Awareness': [3319], 'Emotion': [3321], 'During': [3322], 'Pandemic': [3325], 'Perspective': [3328], 'TrustChengYang,': [3330], 'YinghuaMiao2022': [3331], 'Psychology,': [3335], '13Development': [3337], 'validation': [3339], 'CT-based': [3342], 'biomarkers': [3344], 'stage': [3347], 'screeningXiao-PingLiu,': [3349], 'XuYang,': [3350], 'MiaoXiong,': [3351], 'XuanyuMao,': [3352], 'XiaoqingJin,': [3353], 'ZhiqiangLi,': [3354], 'ShuangZhou,': [3355], 'HangChang2022': [3356], 'Public': [3360], 'Health,': [3361], '10New': [3363], 'Optimized': [3364], 'Application': [3367], 'ImagesAhmad': [3374], 'MozafferKarim,': [3375], 'HilalKaya,': [3376], 'VeyselAlcan,': [3377], 'BahaSen,': [3378], 'Ismail': [3379], 'AlihanHadimlioglu2022': [3380], 'Symmetry,': [3382], '14,': [3384], '5Computed': [3386], 'tomography-aided': [3387], 'COVID-19XiaoChen,': [3390], 'QiuyuanYang,': [3391], 'HaijunHe,': [3392], 'CaiqiongWang,': [3393], 'ZefeiPeng,': [3394], 'YingchunLiu,': [3395], 'PeiqiWang,': [3396], 'JialeiWu,': [3397], 'BinYang2022': [3398], 'Infectious': [3402], 'Diseases,': [3403], '9,': [3405], '2Pneumomediastinum:': [3407], 'Radiological': [3408], 'profile': [3409], 'associations': [3411], 'uncommon': [3413], 'complication': [3414], 'COVID-19PrashantSarda,': [3416], 'VishalThakker,': [3417], 'PremilaDWaikhom,': 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