Artificial intelligence (AI) in breast cancer care - Leveraging multidisciplinary skills to improve care

Name: Work Video:
Duration: 3 min 30 s
Maria João Cardoso; Nehmat Houssami; Giuseppe Pozzi; Brigitte Séroussi
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2245], 'across': [85, 2587], 'healthcare.': [86, 1935, 2877], '"We': [87], 'are': [88, 244, 277, 325, 472, 505, 586, 714, 807, 834, 1002, 1201, 1218, 1254, 1453, 1685, 1734, 1925, 2145, 2250, 2308, 2795, 3231, 3445], 'not': [89, 278, 1105, 1227, 1235, 1485, 2769, 2893], 'ready': [90], 'for': [91, 122, 129, 170, 320, 448, 791, 895, 1055, 1095, 1240, 1433, 1459, 1468, 1499, 1526, 1552, 1612, 1848, 1941, 1952, 2037, 2102, 2143, 2381, 2422, 2446, 2479, 2605, 2615, 2836, 2842, 2857, 3059, 3311], 'what': [92, 2700, 2782], 'about': [94, 1867], 'come"': [96], 'Coiera': [97], 'tells': [98], 'us': [99, 248, 487, 2881], '[[1]Coiera': [100], 'E.': [101, 625, 2262], 'price': [103], 'artificial': [105, 860, 921, 1016, 1071, 1770, 2264, 2451, 2659], 'intelligence.Yearbk': [106], 'Med': [107], 'Inform.': [108], '2019;': [109], '28:': [110], '14-25https://doi.org/10.1055/s-0039-1677892Crossref': [111], 'PubMed': [112, 458, 643, 677, 872, 911, 938, 972, 1033, 1083, 1161, 1351, 1444, 1563, 1649, 1858, 2012, 2197, 2281, 2359, 2460, 2546, 2674], 'Scopus': [113, 459, 644, 678, 873, 912, 939, 973, 1034, 1084, 1162, 1352, 1445, 1564, 1650, 1834, 1859, 2013, 2048, 2198, 2282, 2360, 2461, 2547, 2675], '(11)': [114, 1565, 2014], 'Google': [115, 461, 646, 680, 875, 914, 941, 975, 1036, 1086, 1164, 1354, 1447, 1566, 1652, 1836, 1861, 2015, 2050, 2200, 2284, 2362, 2463, 2549, 2677], 'Scholar],': [116, 1037, 1165, 2016, 2201, 2678], 'statement': [118], 'highlighting': [119], 'need': [121, 191, 267, 383, 1580, 1713, 2421], 'practitioners': [124], 'services': [126], 'prepare': [128], "AI's": [130], 'adoption': [131], 'into': [132, 772, 839, 2253, 2401], 'practice.': [134, 259], 'With': [135], 'progress': [137, 189, 359, 2228], 'systems,': [140], 'it': [141, 1492, 2132, 2816], 'seems': [142], 'obvious': [143, 498], 'machine': [145, 1090, 1664, 2002, 2322, 2369, 2494, 3254], 'thinking': [146, 447, 2697], 'invade': [148], 'our': [149, 181, 361, 377, 386, 595], 'workspace,': [150], 'literally': 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238, 397, 435, 475, 607, 756, 804, 1009, 1588, 2254, 2680, 3547], 'new': [186, 224, 1671, 1741, 1748, 2073, 2469, 2777], 'reality.': [187], 'This': [188, 226, 1283, 2683, 2710, 2878, 3316], 'big': [192, 2061, 3259], 'input': [193], 'from': [194, 430, 611, 665, 686, 1295, 1301, 1388, 1506, 1744, 1791, 2075, 2138, 2162, 2385, 2554, 2972, 3438, 3529], '"both': [195], 'sides': [196], 'barricade",': [199], 'namely': [200], 'technical': [202], 'experts': [203], 'care': [206, 471, 491, 1953, 2249, 2340, 2409, 2536, 2563, 2599, 2737, 2841, 3480], 'professionals.': [207], 'Fear': [208], 'unknown': [211], 'common': [214], 'obstacle': [215], 'innovation': [217], 'frequently': [219, 508], 'leads': [220], 'resistance': [222], 'approaches.': [225], 'also': [228, 808, 1115, 1359, 1579, 2251, 2757, 2789, 2898, 3044, 3152], 'situation': [230], 'with': [231, 271, 281, 512, 570, 704, 887, 1182, 1237, 1298, 1310, 1339, 1720, 1737, 1879, 1949, 2595, 2829, 2979, 3007, 3178, 3194], 'although': [236, 1491], 'instance,': [239], 'cautious': [240], 'planning': [241, 1458, 1575], 'evaluation': [243], 'needed': [245, 799, 1047, 2766], 'allow': [247, 2577], 'understand': [250, 1965], 'most': [252, 520, 536, 2570], 'beneficial': [253], 'way': [254, 2812], 'adopt': [256], 'To': [260, 394], 'achieve': [261], 'this,': [262], 'professionals': [264, 310, 415, 2297, 2896], 'including': [265, 551, 1098, 1769, 1886, 1934, 2863], 'doctors': [266, 276, 1903], 'closely': [270], 'experts.': [273], 'However,': [274, 1474], 'many': [275, 500, 1495, 3439], 'at': [279, 2489, 2951], 'ease': [280], 'computer': [283, 287, 322], 'science': [284, 323], 'language,': [285], 'scientists': [288, 412], 'engineers': [290], "don't": [291], 'master': [292], 'terminology': [294], 'concepts.': [296], 'Moreover,': [297], 'these': [298, 2326, 2426, 2792], 'very': [299, 507], 'divergent': [300], 'appear': [302], 'different': [306, 387, 752, 1730, 1767, 1880, 1942, 2513, 2974, 3035], 'objectives.': [307], 'While': [308], 'have': 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'perspectives': [388], 'efficiently': [390], 'effectively.': [393], 'help': [395, 486, 1689, 1902, 2375, 2597, 3180, 3540], 'problem,': [398], 'curriculum': [400], 'teaching': [401, 2303], 'language': [403, 1968, 2109, 2186, 2217, 3263], 'used': [404, 741, 1374, 1487, 2890], 'problems': [407], 'addressed': [408, 2631, 2991], 'both': [409, 419, 1099, 3031, 3224], 'could': [416, 1493, 2324, 2397, 2807], 'implemented': [418], 'pre-graduate': [421], 'post-graduate': [423], 'education,': [424], 'as': [425, 822, 824, 1314, 1961, 1963, 1973, 2784, 2874, 3249, 3272, 3373, 3421], 'highlighted': [426], 'Ferreira': [431], 'et': [432, 683, 730, 1040, 1128, 1318, 1394, 1508, 1864, 1893, 1979, 2019, 2065, 2089, 2168, 2429, 2517], 'al.': [433, 684, 731, 1041, 1129, 1319, 1395, 1509, 1865, 1894, 1980, 2020, 2066, 2090, 2169, 2430, 2518], 'special': [436, 608, 805, 2681, 2931, 2957, 3018, 3055, 3063, 3083, 3128, 3314, 3417, 3433, 3472], 'issue': [437, 609, 806, 1010, 2932, 2958, 3019, 3084, 3418, 3434, 3473], '[[2]Ferreira': [438], 'M.F.': [439], 'Savoy': [440], 'J.N.': [441], 'Markey': [442], 'M.K.': [443], 'Teaching': [444], 'cross-cultural': [445], 'design': [446, 2721], 'healthcare.Breast.': [449, 2272], '2020;': [450, 641, 675, 864, 903, 930, 964, 1025, 1075, 1153, 1343, 1436, 1555, 1641, 1832, 1856, 2010, 2046, 2195, 2273, 2351, 2458, 2544, 2666], '50:': [451, 1437, 2274, 2352], '1-10https://doi.org/10.1016/j.breast.2019.12.015Abstract': [452], 'Full': [453, 455, 867, 869, 906, 908, 933, 935, 967, 969, 1028, 1030, 1078, 1080, 1156, 1158, 1346, 1348, 1439, 1441, 1558, 1560, 1644, 1646, 2276, 2278, 2354, 2356, 2669, 2671], 'Text': [454, 456, 868, 870, 907, 909, 934, 936, 968, 970, 1029, 1031, 1079, 1081, 1157, 1159, 1347, 1349, 1440, 1442, 1559, 1561, 1645, 1647, 2277, 2279, 2355, 2357, 2670, 2672], 'PDF': [457, 871, 910, 937, 971, 1032, 1082, 1160, 1350, 1443, 1562, 1648, 2280, 2358, 2673], '(7)': [460, 1353], 'Scholar].': [462, 681, 976, 1087, 1355, 1448, 1567, 1862], 'Many': 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2024, 2440, 2522], 'Zwiggelaar': [628], 'Breast': [630, 662, 3071, 3099, 3331, 3345, 3362, 3499], 'ultrasound': [631, 690], 'region': [632, 706], 'interest': [634, 708], 'detection': [635, 698, 710, 1430, 2096, 2488], 'lesion': [637, 712, 785], 'localisation.Artif': [638], 'Intell': [639, 673, 1830, 1854, 2008, 2044, 2193, 2456, 2542], 'Med.': [640, 674, 1831, 1855, 2009, 2045, 2194, 2457, 2543], '107https://doi.org/10.1016/j.artmed.2020.101880Crossref': [642], '(31)': [645], 'Scholar,[4]Carvalho': [647], 'E.D.': [648], 'Filho': [649], 'A.O.': [650], 'Silva': [651, 657, 1328, 1619], 'R.R.': [652], 'Araújo': [653, 1416], 'F.H.': [654], 'Diniz': [655], 'J.O.': [656], 'A.C.': [658], '…': [659, 1426, 1808, 2531], 'Gattass': [660], 'histopathological': [666, 767], 'images': [667, 692, 768, 1452], 'using': [668, 998, 1569, 2184, 2215, 2346, 2450, 2658, 2858], 'textural': [669], 'features': [670, 2074], 'CBIR.Artif': [672], '105https://doi.org/10.1016/j.artmed.2020.101845Crossref': [676], '(40)': [679], 'Yap': [682], 'move': [685], 'set': [688, 1755, 3541], 'accurate': [696, 1279], 'object': [697], 'deep': [699, 1668, 2220, 3294], 'learning': [700, 886, 1091, 1846, 2003, 2093, 2221, 2323, 2370, 2495], 'framework': [701, 2472], '(namely,': [702], 'Faster-RCNN': [703], 'Inception-ResNet-v2):': [705], '(ROI)': [709], 'localization': [713, 1280], 'automatically': [715, 1385, 2502], 'performed,': [716], 'helping': [717], 'surgeon': [719], 'area': [725], 'breast.': [728], 'Carvalho': [729, 1324], 'propose': [732, 1895, 2205, 2392, 2465], 'method': [734, 2208], 'deploys': [736], 'phylogenetic': [737], 'diversity': [738], 'indexes,': [739], 'generally': [740, 2753], 'biology': [743], 'compare': [745], 'behavior': [747], 'patterns': [748, 2373, 2572], 'species': [750], 'areas,': [753], 'applied': [754, 1208, 2223], 'characterize': [759], 'histopathology': [761], 'images:': [762], 'resulting': [764], 'model': [765, 1309], 'classifies': [766], 'four': [773, 2512, 3116, 3131, 3173, 3442], 'classes': [774, 2586], '-': [775, 923, 1018], 'invasive': [776], 'carcinoma,': [777, 780], 'situ': [779], 'normal': [781, 2125], 'tissue,': [782], 'benign': [784], '–': [786], 'leaving': [787], 'possible': [789, 1757, 2690], 'reducing': [795], 'number': [797, 1250, 1739], 'biopsies.': [800], 'Other': [801], 'dedicated': [809], 'screening,': [818], 'diagnosis,': [819], 'prognosis': [821], 'well': [823, 1962], 'prediction': [826, 897, 2445], 'response': [829, 899], 'treatment.': [831, 1473], 'These': [832], 'topics': [833], 'reviewed': [835], 'discussed': [837, 1003], 'taking': [838], 'account': [840], 'current': [842, 1624, 3198, 3240, 3431], 'state': [843, 3299], 'existing': [845], '[5Lee': [847], 'C.I.': [848, 1059], 'Houssami': [849, 953, 1060, 2649], 'N.': [850, 954, 1061, 2528, 2530, 2650], 'Elmore': [851, 1062], 'J.G.': [852, 1063], 'Buist': [853, 1064], 'D.S.': [854, 1065], 'Pathways': [855, 1066], 'intelligence': [861, 922, 1017, 1072, 1145, 2265, 2452, 2660], 'algorithm': [862, 1073, 2566], 'validation.Breast.': [863, 1074], '52:': [865, 1076], '146-149https://doi.org/10.1016/j.breast.2019.09.005Abstract': [866, 1077], '(8)': [874, 1085, 1651, 1835], 'Scholar,': [876, 915, 942], '6Gullo': [877], 'R.L.': [878], 'Eskreis-Winkler': [879], 'S.': [880, 1321, 1533, 1799, 2022, 2030, 2442, 2526], 'Morris': [881], 'E.A.': [882, 1143], 'Pinker': [883], 'K.': [884, 1840], 'Machine': [885], 'multiparametric': [888], 'magnetic': [889], 'resonance': [890], 'early': [896, 2484], 'neoadjuvant': [901], 'chemotherapy.Breast.': [902], '49:': [904, 931, 965, 1026, 1154, 1344, 1556, 1642, 2667], '115-122https://doi.org/10.1016/j.breast.2019.11.009Abstract': [905], '(26)': [913], '7Sechopoulos': [916], 'I.': [917, 1012, 1537], 'Mann': [918, 1007, 1013], 'R.M.': [919, 1014, 2028], 'Stand-alone': [920, 1015], 'screening?.Breast.': [929, 1024], '254-260https://doi.org/10.1016/j.breast.2019.12.014Abstract': [932, 1027], '(28)': [940, 1035], '8Tagliafico': [943], 'A.S.': [944], 'Piana': [945], 'Schenone': [947], 'D.': [948, 1425, 1838], 'Lai': [949], 'Massone': [951], 'A.M.': [952], 'Overview': [955], 'radiomics': [957], 'prognostication.Breast.': [963], '74-80https://doi.org/10.1016/j.breast.2019.10.018Abstract': [966], '(67)': [974], 'potential': [980, 1184], 'efficiencies': [983], 'programs': [986], 'burdened': [987], 'screen-reading': [989], 'workload,': [990], 'augmenting': [992], "radiologists'": [993], 'interpretation.': [994], 'Various': [995], 'approaches': [996, 2222], 'Sechopoulos': [1005], '[[7]Sechopoulos': [1011], 'while': [1038, 3226], 'Lee': [1039], 'highlight': [1042], 'pathways': [1044], 'validation': [1050], 'diversification': [1052], 'algorithms': [1054, 2496], 'practice': [1057, 2403], '[[5]Lee': [1058], 'Applications': [1088], 'pathology': [1094, 1170, 1198, 2225, 2585], 'diagnostic': [1100, 1118, 1573], 'prognostic': [1102], 'applications,': [1103], 'only': [1106, 2770, 2894, 2992, 3235], 'complement': [1107], 'pathologists': [1113], 'but': [1114, 2237, 2756, 2788, 2897, 3041], 'accuracy.': [1119], 'described': [1121, 1239], 'detailed': [1124], 'review': [1125, 1656], 'Ibrahim': [1127], '[[9]Ibrahim': [1130], 'Gamble': [1132], 'P.': [1133, 2260], 'Jaroensri': [1134], 'Abdelsamea': [1136], 'M.M.': [1137], 'Mermel': [1138], 'C.H.': [1139], 'Chen': [1140], 'P.-H.C.': [1141], 'Rakha': [1142], 'pathology:': [1149], 'techniques': [1150], 'applications.Breast.': [1152], '267-273https://doi.org/10.1016/j.breast.2019.12.007Abstract': [1155], '(45)': [1163], 'provide': [1172, 1946, 2592], 'information': [1173, 1272, 1293, 1774, 2150], 'beyond': [1174, 2797], 'gained': [1178], 'eyeball': [1180], 'assessment': [1181, 1632], 'replace': [1186, 1398], 'expensive': [1190], 'multigene': [1191], 'assays.': [1192], 'In': [1193, 1696], 'contrast': [1194], 'where': [1199, 2148, 2202, 2801, 2870, 2886, 3137], 'available': [1203], 'tools': [1205, 1465, 1581, 2794], 'substantial': [1207], 'research,': [1209], 'sub-specialties': [1211], 'local': [1213], 'treatments': [1214], 'relatively': [1219], 'lagging': [1220], 'behind': [1221], 'applications.': [1224], 'surprising': [1228], 'surgery': [1233, 1601, 1749], 'commensurate': [1236], 'pathology.': [1243], 'Operating': [1244], 'depends': [1247], 'variables': [1252], 'difficult': [1255], 'collect': [1257], 'standardize.': [1259], 'An': [1260], 'effort': [1261, 1284, 3437], 'been': [1263, 1286, 1360, 3212, 3270], 'made': [1264], 'try': [1266], 'transfer': [1268], 'operating': [1275], 'room,': [1276], 'allowing': [1277, 1303], 'cancer.': [1282], 'essentially': [1287, 2312], 'directed': [1288], 'fusion': [1291, 1341], 'coming': [1294, 2971], 'surface': [1296], 'scans': [1297], 'MRI': [1302], 'construction': [1305, 3428], 'tumor': [1312], 'inside,': [1313], 'reported': [1315], 'Bessa': [1317], '[[10]Bessa': [1320], 'Gouveia': [1322], 'P.F.': [1323], 'P.H.': [1325], 'Rodrigues': [1326], 'C.': [1327, 1415, 1803, 1805], 'N.L.': [1329], 'Cardoso': [1330, 1332, 1427, 1614, 1621, 3486], 'M.J.': [1333, 1428, 1622], '3D': [1334], 'models': [1338, 2004], 'multimodal': [1340], 'algorithms.Breast.': [1342], '281-290https://doi.org/10.1016/j.breast.2019.12.016Abstract': [1345], 'Some': [1356, 2234, 3215], 'done': [1361], 'reconstruction': [1364, 1379], 'through': [1365], 'angio': [1369, 1389], 'CTs,': [1370, 1390], 'exam': [1373], 'plan': [1376, 2726], 'free': [1377, 2118], 'flap': [1378], 'after': [1380], 'mastectomy.': [1381], 'capacity': [1383, 2115], 'detect': [1386, 2372], 'vessels': [1387], 'proposed': [1391, 3067], 'Mavioso': [1393], 'hopefully': [1397], 'process': [1400, 1483, 3162, 3410], 'manual': [1402], 'annotation': [1403], 'computerized': [1406], 'automatic': [1407], 'keeping': [1409], 'same': [1411, 2969], 'accuracy': [1412, 1906, 2772], 'levels': [1413], '[[11]Mavioso': [1414], 'R.J.': [1417], 'Oliveira': [1418], 'H.P.': [1419], 'Anacleto': [1420], 'J.C.': [1421, 1992], 'Vasconcelos': [1422], 'M.A.': [1423], 'Pinto': [1424], 'Automatic': [1429], 'perforators': [1432], 'microsurgical': [1434], 'reconstruction.Breast.': [1435], '19-24https://doi.org/10.1016/j.breast.2020.01.001Abstract': [1438], '(4)': [1446, 2049], 'Concerning': [1449], 'radiotherapy,': [1450], 'CT': [1451], 'core': [1455], 'each': [1460, 2977], 'patient,': [1461], 'facilitating': [1464], 'exist': [1467], 'contouring': [1469], 'automate': [1480], 'entire': [1482], 'yet': [1486, 2418], 'save': [1494], 'hours': [1496], 'radiation': [1501, 1524, 1550], 'oncology': [1502], 'team.': [1503], 'paper': [1505, 2164, 2634], 'Poortmans': [1507], 'offers': [1510], 'significant': [1512, 2053], 'contribution': [1513, 2158], 'elucidate': [1515], 'issues': [1517, 2628, 3221], 'related': [1518], 'individualize': [1523], 'therapy': [1525, 1551], '[[12]Poortmans': [1530], 'P.M.': [1531], 'Takanen': [1532], 'Marta': [1534], 'G.N.': [1535], 'Meattini': [1536], 'Kaidar-Person': [1538], 'O.': [1539], 'Winter': [1540], 'over:': [1542], 'individualise': [1549], 'cancer.Breast.': [1554], '194-200https://doi.org/10.1016/j.breast.2019.11.011Abstract': [1557], 'Beyond': [1568], 'treatment,': [1577], 'assess': [1583, 2290], 'decision.': [1589, 1723], 'Besides': [1590], 'side': [1592, 2058, 3325, 3340], 'effects': [1593], 'systemic': [1595], 'treatments,': [1596], 'visible': [1598], 'impact': [1599], 'radiotherapy': [1603], "patients'": [1605], 'body': [1606], 'major': [1610, 3200, 3242, 3285], 'importance': [1611, 2695], 'colleagues': [1616, 2638], '[[13]Cardoso': [1617], 'J.S.': [1618], 'W.': [1620, 2642], 'Evolution,': [1623], 'challenges,': [1625], 'possibilities': [1628], 'objective': [1631], 'aesthetic': [1634, 1677], 'outcome': [1635], 'locoregional': [1639, 1680], 'treatment.Breast.': [1640], '123-130https://doi.org/10.1016/j.breast.2019.11.006Abstract': [1643], 'Scholar]': [1653, 2051, 2285, 2363, 2464, 2550], 'offer': [1654, 2052], 'discussion': [1659], 'recent': [1661], 'advancements': [1662], 'learning,': [1665, 1669], 'especially': [1667], 'bringing': [1670], 'promises': [1672], 'field': [1675], 'treatments.': [1681], 'Decision': [1682, 1761], 'support': [1683, 1762, 1788, 1817, 1884, 1899, 1951, 2729, 3257], 'systems': [1684, 1687, 1763, 1789, 2661], 'advanced': [1686], 'diagnose': [1692], 'treat': [1694], 'diseases.': [1695], 'fact,': [1697], 'task': [1699], 'complex': [1707, 2412], 'because': [1708, 1725], 'increasing': [1709], 'quantities': [1710, 1921], 'properly': [1716], 'before': [1718, 2708], 'proceeding': [1719], 'any': [1721, 1931, 2616], 'Indeed,': [1724, 2976], 'medical': [1726, 1947, 1974, 2146, 3104], 'knowledge': [1727, 1772, 2137], 'advancing,': [1729], 'categories': [1731], 'proliferating': [1735], 'along': [1736, 2425], 'therapies': [1742], 'stemming': [1743], 'techniques,': [1750], 'dramatically': [1752], 'widen': [1753], 'choices': [1758], 'decisions.': [1760], 'methodologies': [1768], 'intelligence,': [1771], 'representation,': [1773], 'visualization,': [1775], 'text': [1777, 2122], 'mining,': [1778], 'among': [1779], 'others.': [1780], 'decision': [1787, 1883, 1898, 3256], '[[14]Bouaud': [1796], 'J.': [1797, 1990], 'Pelayo': [1798], 'Lamy': [1800], 'J.-B.': [1801], 'Prebet': [1802], 'Ngo': [1804], 'Teixeira': [1806], 'L.': [1807, 1982, 2026, 2438, 2520, 2533], 'Seroussi': [1809], 'B.': [1810, 2648], 'Implementation': [1811], 'ontological': [1814], 'reasoning': [1815], 'guideline-based': [1819], 'management': [1820, 2344, 2942], 'DESIREE': [1828, 1873], 'project.Artif': [1829], '101922https://doi.org/10.1016/j.artmed.2020.101922Crossref': [1833], 'Scholar,[15]Gu': [1837], 'Su': [1839], 'Zhao': [1841], 'H.': [1842, 2171, 2646], 'A': [1843, 2601], 'case-based': [1844, 1890], 'ensemble': [1845], 'system': [1847, 1900, 3393], 'explainable': [1849], 'recurrence': [1852, 1910, 2183], 'prediction.Artif': [1853], '107https://doi.org/10.1016/j.artmed.2020.101858Crossref': [1857], '(22)': [1860], 'Bouaud': [1863], 'report': [1866, 2364], 'results': [1869, 2576], 'European-funded': [1872], 'project,': [1874], 'providing': [1875], 'unit': [1877], 'complementary': [1881], 'therapeutic': [1882], 'modules': [1885], 'guideline-based,': [1887], 'experience-based,': [1888], 'reasoning.': [1891], 'Gu': [1892], 'auxiliary': [1897], 'prediction.': [1911], 'Big': [1912], 'refers': [1915, 2112], 'collected': [1927, 3046], 'stored': [1929], 'activity,': [1933], 'Such': [1936, 2849], 'exploited': [1940], 'targets,': [1943], 'e.g.,': [1944], 'staff': [1948], 'suggestion': [1950], 'delivery,': [1954], 'reason,': [1956], 'extract': [1959], 'knowledge,': [1960], 'natural': [1967, 2185, 2216, 3262], 'textual': [1970], 'descriptions': [1971], 'such': [1972, 3248, 3481], 'reports.': [1975], 'Papers': [1976], 'Macias-Garcia': [1978, 2064], '[[16]Macı́as-Garcı́a': [1981], 'Martı́nez-Ballesteros': [1983], 'Luna-Romera': [1985], 'J.M.': [1986, 1988], 'Garcı́a-Heredia': [1987], 'Garcı́a-Gutiérrez': [1989], 'Riquelme-Santos': [1991], 'Autoencoded': [1993], 'DNA': [1994, 2068], 'methylation': [1995, 2069], 'predict': [1998, 2084, 2210], 'recurrence:': [2001], 'gene-weight': [2006], 'significance.Artif': [2007], '110https://doi.org/10.1016/j.artmed.2020.101976Crossref': [2011], 'Pozzoli': [2018, 2088], '[[17]Pozzoli': [2021], 'Soliman': [2023], 'Bahri': [2025], 'Branca': [2027], 'Girdzijauskas': [2029], 'Brambilla': [2031], 'Domain': [2033], 'expertise–agnostic': [2034], 'feature': [2035], 'selection': [2036], 'data.Artif': [2043], '101928https://doi.org/10.1016/j.artmed.2020.101928Crossref': [2047], 'topic.': [2063, 3016], 'summarize': [2067], 'generate': [2072], 'values': [2077], 'CpG': [2079], 'sites': [2080], 'recurrence.': [2087], 'experiment': [2091], 'unsupervised': [2092], 'distinctive': [2100], 'proteins': [2101], 'identification': [2104, 3196], 'subtypes.': [2107], 'Natural': [2108], 'processing': [2110, 2187, 2218, 3264], '(NLP)': [2111], 'analyzing': [2117], 'text,': [2119], 'i.e.,': [2120], 'speaking': [2126], 'writing,': [2128], 'understanding': [2131], 'and,': [2133], 'possibly,': [2134], 'extracting': [2136], 'it.': [2139], 'main': [2141], 'sources': [2142], 'NLP': [2144, 2160], 'reports,': [2147], 'non-coded': [2149], 'depicted.': [2152], 'one': [2157, 3236, 3368], 'comes': [2161], 'Hanyin': [2166], 'Wang': [2167], '[[18]Wang': [2170], 'Li': [2172], 'Y.': [2173, 2177], 'Khan': [2174], 'S.A.': [2175], 'Luo': [2176], 'Prediction': [2178], 'distant': [2182, 2213], 'knowledge-guided': [2189], 'convolutional': [2190], 'neural': [2191], 'network.Artif': [2192], '110https://doi.org/10.1016/j.artmed.2020.101977Crossref': [2196], '(14)': [2199, 2283], 'authors': [2204, 2391, 3308], 'recurrence,': [2214], 'reports': [2226], 'notes': [2229], '6000': [2232], 'established': [2236], 'however': [2238], 'emerging': [2239], 'promising': [2241], 'introduced': [2252], 'issue.': [2255, 2682, 3056, 3129, 3315], 'Butow': [2256], 'Hoque': [2258, 2261], '[[19]Butow': [2259], 'Using': [2263], 'analyse': [2267], 'teach': [2269], 'communication': [2270, 2294, 2301], '49-55https://doi.org/10.1016/j.breast.2020.01.008Abstract': [2275], 'discuss': [2286], 'define': [2292, 2568, 2818], 'effective': [2293, 2723], 'between': [2295], 'Both': [2300], 'how': [2305, 2819, 2824], 'stand': [2311], 'qualitative': [2314], 'forms': [2315], 'analysis/evaluation,': [2317], 'efficient.': [2329], 'Moser': [2330], 'Nayaran': [2332], '[[20]Moser': [2333], 'E.C.': [2334], 'Narayan': [2335], 'G.': [2336, 2436], 'Improving': [2337], 'coordination': [2341], 'symptom': [2343], 'driven': [2348], 'predictive': [2349], 'toolkits.Breast.': [2350], '25-29https://doi.org/10.1016/j.breast.2019.12.006Abstract': [2353], '(10)': [2361], 'track': [2377], 'ideal': [2379], 'workflow': [2380], 'long-term': [2388], 'follow-up.': [2389], 'electronic': [2394, 2557, 2579], 'records': [2395, 2559], 'modeling': [2400], 'drive': [2405], 'well-coordinated,': [2406], 'patient-centered': [2407], 'web': [2413], 'modern': [2415], 'today,': [2417], 'stressing': [2419], 'presence': [2424], 'pathways.': [2427, 2747], 'Kakileti': [2428], '[[21]Kakileti': [2431], 'S.T.': [2432], 'Madhu': [2433], 'H.J.': [2434], 'Manjunath': [2435], 'Wee': [2437], 'Dekker': [2439], 'Sampangi': [2441], 'Personalized': [2443], 'risk': [2444, 2471, 2507, 2514, 2724], 'pre-screening': [2449], 'thermal': [2454, 2499], 'radiomics.Artif': [2455], '105https://doi.org/10.1016/j.artmed.2020.101854Crossref': [2459], '(15)': [2462], 'analyze': [2467, 2498, 2551], 'personalized': [2470, 3274], 'identify': [2474, 3306], 'high-risk': [2476], 'target': [2477, 2982], 'population': [2478], 'regular': [2480], 'enable': [2483, 2880], 'stage': [2485], 'scale.': [2490], 'approach': [2492, 2711, 3001], 'runs': [2493], 'images,': [2500], 'generates': [2503], 'score,': [2508], 'assigning': [2509], 'subjects': [2510], 'classes.': [2515], 'Chiudinelli': [2516], '[[22]Chiudinelli': [2519], 'Dagliati': [2521], 'Tibollo': [2523], 'V.': [2524], 'Albasini': [2525], 'Geifman': [2527], 'Peek': [2529], 'Sacchi': [2532], 'Mining': [2534], 'post-surgical': [2535], 'patients.Artif': [2541], '105https://doi.org/10.1016/j.artmed.2020.101855Crossref': [2545], '(9)': [2548], 'extracted': [2553], '3000': [2556], 'describe': [2561, 2583], 'flow': [2564], 'mining': [2565], 'frequent': [2571], 'drawing': [2578], 'temporal': [2580], 'phenotypes': [2581], 'well-characterized': [2584], 'studied': [2589], 'population,': [2590], 'surgeons': [2594], 'delivery.': [2600], 'further': [2602], 'crucial': [2603], 'topic': [2604, 2970], 'applying': [2606], 'indeed': [2613], 'application': [2617], 'healthcare,': [2621, 2755], 'relates': [2622], 'ethical,': [2624, 2652, 3278], 'legal,': [2625, 3279], 'social': [2627, 2655, 3281], '(ELSI),': [2629], 'wonderfully': [2630], 'Carter': [2636], '[[23]Carter': [2639], 'S.M.': [2640], 'Rogers': [2641], 'Win': [2643], 'K.T.': [2644], 'Frazer': [2645], 'Richards': [2647], 'legal': [2653], 'implications': [2656], 'care.Breast.': [2665], '25-32https://doi.org/10.1016/j.breast.2019.10.001Abstract': [2668], '(46)': [2676], 'highlights': [2684], 'ELSI': [2686], 'challenges': [2687], 'reinforces': [2693], 'carefully': [2698, 3518], 'risks': [2707], 'implementation.': [2709], 'include': [2715, 3246], 'stakeholders': [2717], 'involved': [2718], 'mitigation': [2725], 'introduction': [2731], 'inform': [2739, 2901], 'its': [2740, 2980], 'expansion': [2741], 'ethical': [2743, 2855], 'socially': [2745], 'acceptable': [2746, 2873], 'here': [2750], 'stay,': [2752], 'specifically': [2758], 'Structured': [2763], 'investigate': [2768], 'utility': [2774], 'AI-related': [2778], 'compared': [2780], 'exists': [2783], 'standard': [2785], 'transferable': [2796], 'specific': [2799, 2981], 'settings': [2800], 'they': [2802, 3037, 3042, 3138, 3192], 'were': [2803, 3038, 3085, 3288, 3335, 3376], 'developed.': [2804], 'change': [2808], 'rapidly': [2809], 'adapt': [2814], 'effectively': [2820], 'multidisciplinarity': [2821], 'operates': [2822], 'jointly': [2828], 'develop': [2833], 'pathway': [2835, 2851, 2917], 'implementing': [2837], 'benefit': [2844], 'must': [2852], 'construct': [2856], 'engage': [2861], 'stakeholders,': [2862], 'consumers,': [2866], 'decisions': [2868], 'regarding': [2869, 3408], 'may': [2879], 'build': [2883], 'augment': [2892], 'complement,': [2903], 'rather': [2904], 'than': [2905], 'dictate': [2906], 'decisions,': [2908], 'ultimately': [2911], 'transition': [2912], 'AI-supported': [2915], 'Methodological': [2922], 'issues:': [2923], 'idea': [2925, 3468, 3483], 'having': [2927], 'virtual': [2929, 3062, 3082, 3126, 3415, 3432], 'joint': [2930, 3000, 3061, 3127, 3313, 3416, 3471], 'advent': [2935], 'was': [2946, 3549], 'launched': [2947, 3464], 'publisher': [2950, 3066, 3183], 'end': [2953], '2018.': [2955], 'would': [2959, 2989, 3002, 3020, 3028, 3043, 3143, 3210], 'joint,': [2963], 'i.e.': [2964, 3025], 'collecting': [2965], 'two': [2973, 3112, 3187, 3496], 'journals.': [2975, 3171], 'journal,': 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