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Zeitschriftenartikel

Collins, Gary S. ORCID logoORCID: https://orcid.org/0000-0002-2772-2316; Moons, Karel G. M. ORCID logoORCID: https://orcid.org/0000-0003-2118-004X; Dhiman, Paula ORCID logoORCID: https://orcid.org/0000-0002-0989-0623; Riley, Richard D. ORCID logoORCID: https://orcid.org/0000-0001-8699-0735; Beam, Andrew L. ORCID logoORCID: https://orcid.org/0000-0002-6657-2787; Calster, Ben van ORCID logoORCID: https://orcid.org/0000-0003-1613-7450; Ghassemi, Marzyeh ORCID logoORCID: https://orcid.org/0000-0001-6349-7251; Liu, Xiaoxuan ORCID logoORCID: https://orcid.org/0000-0002-1286-0038; Reitsma, Johannes B. ORCID logoORCID: https://orcid.org/0000-0003-4026-4345; Smeden, Maarten van ORCID logoORCID: https://orcid.org/0000-0002-5529-1541; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Camaradou, Jennifer Catherine ORCID logoORCID: https://orcid.org/0000-0002-5742-2840; Celi, Leo Anthony ORCID logoORCID: https://orcid.org/0000-0001-6712-6626; Denaxas, Spiros ORCID logoORCID: https://orcid.org/0000-0001-9612-7791; Denniston, Alastair K. ORCID logoORCID: https://orcid.org/0000-0001-7849-0087; Glocker, Ben ORCID logoORCID: https://orcid.org/0000-0002-4897-9356; Golub, Robert M. ORCID logoORCID: https://orcid.org/0000-0001-7881-1207; Harvey, Hugh ORCID logoORCID: https://orcid.org/0000-0003-4528-1312; Heinze, Georg ORCID logoORCID: https://orcid.org/0000-0003-1147-8491; Hoffman, Michael M. ORCID logoORCID: https://orcid.org/0000-0002-4517-1562; Kengne, André Pascal ORCID logoORCID: https://orcid.org/0000-0002-5183-131X; Lam, Emily; Lee, Naomi ORCID logoORCID: https://orcid.org/0000-0003-0100-9659; Loder, Elizabeth W. ORCID logoORCID: https://orcid.org/0000-0003-1501-2947; Maier-Hein, Lena ORCID logoORCID: https://orcid.org/0000-0003-4910-9368; Mateen, Bilal A. ORCID logoORCID: https://orcid.org/0000-0003-4423-6472; McCradden, Melissa D. ORCID logoORCID: https://orcid.org/0000-0002-6476-2165; Oakden-Rayner, Lauren ORCID logoORCID: https://orcid.org/0000-0001-5471-5202; Ordish, Johan ORCID logoORCID: https://orcid.org/0000-0001-6911-2367; Parnell, Richard ORCID logoORCID: https://orcid.org/0000-0003-0044-3496; Rose, Sherri ORCID logoORCID: https://orcid.org/0000-0002-9076-8472; Singh, Karandeep ORCID logoORCID: https://orcid.org/0000-0001-8980-2330; Wynants, Laure ORCID logoORCID: https://orcid.org/0000-0002-3037-122X und Logullo, Patricia ORCID logoORCID: https://orcid.org/0000-0001-8708-7003 (2024): TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. In: BMJ, Bd. 385, e078378 [PDF, 291kB]

Liu, Xiaoxuan; Faes, Livia; Kale, Aditya U.; Wagner, Siegfried K.; Fu, Dun Jack; Bruynseels, Alice; Mahendiran, Thushika; Moraes, Gabriella; Shamdas, Mohith; Kern, Christoph; Ledsam, Joseph R.; Schmid, Martin K.; Balaskas, Konstantinos; Topol, Eric J.; Bachmann, Lucas M.; Keane, Pearse A. und Denniston, Alastair K. (2019): A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. In: Lancet Digital Health, Bd. 1, Nr. 6, E271-E297

Faes, Livia; Wagner, Siegfried K.; Fu, Dun Jack; Liu, Xiaoxuan; Korot, Edward; Ledsam, Joseph R.; Back, Trevor; Chopra, Reena; Pontikos, Nikolas; Kern, Christoph; Moraes, Gabriella; Schmid, Martin K.; Sim, Dawn; Balaskas, Konstantinos; Bachmann, Lucas M.; Denniston, Alastair K. und Keane, Pearse A. (2019): Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study. In: Lancet Digital Health, Bd. 1, Nr. 5, E232-E242

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