标题/作者	年份
Deep learning-enabled medical computer vision A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ... NPJ digital medicine 4 (1), 5	2021
AI in health and medicine P Rajpurkar, E Chen, O Banerjee, EJ Topol Nature medicine 28 (1), 31-38	2022
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis UJ Muehlematter, P Daniore, KN Vokinger The Lancet Digital Health 3 (3), e195-e203	2021
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis R Aggarwal, V Sounderajah, G Martin, DSW Ting, A Karthikesalingam, ... NPJ digital medicine 4 (1), 65	2021
How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals E Wu, K Wu, R Daneshjou, D Ouyang, DE Ho, J Zou Nature Medicine 27 (4), 582-584	2021
Synthetic data in machine learning for medicine and healthcare RJ Chen, MY Lu, TY Chen, DFK Williamson, F Mahmood Nature Biomedical Engineering 5 (6), 493-497	2021
Using machine learning approaches for multi-omics data analysis: A review PS Reel, S Reel, E Pearson, E Trucco, E Jefferson Biotechnology Advances 49, 107739	2021
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence KG van Leeuwen, S Schalekamp, MJCM Rutten, B van Ginneken, ... European radiology 31, 3797-3804	2021
Digital pathology: advantages, limitations and emerging perspectives SW Jahn, M Plass, F Moinfar Journal of clinical medicine 9 (11), 3697	2020
AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414	2022
Artificial intelligence for clinical oncology BH Kann, A Hosny, HJWL Aerts Cancer Cell 39 (7), 916-927	2021
Beware explanations from AI in health care B Babic, S Gerke, T Evgeniou, IG Cohen Science 373 (6552), 284-286	2021
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol V Sounderajah, H Ashrafian, RM Golub, S Shetty, J De Fauw, L Hooft, ... BMJ open 11 (6), e047709	2021
A bibliometric network analysis of coronavirus during the first eight months of COVID-19 in 2020 LB Furstenau, B Rabaioli, MK Sott, D Cossul, MS Bender, EMJDM Farina, ... International Journal of Environmental Research and Public Health 18 (3), 952	2021
Artificial intelligence in oncology: current applications and future perspectives C Luchini, A Pea, A Scarpa British Journal of Cancer 126 (1), 4-9	2022
Swarm learning for decentralized artificial intelligence in cancer histopathology OL Saldanha, P Quirke, NP West, JA James, MB Loughrey, HI Grabsch, ... Nature Medicine 28 (6), 1232-1239	2022
Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit D van de Sande, ME van Genderen, J Huiskens, D Gommers, ... Intensive care medicine 47, 750-760	2021
Reading race: AI recognises patient's racial identity in medical images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356	2021
Machine learning solutions for osteoporosis—a review J Smets, E Shevroja, T Hügle, WD Leslie, D Hans Journal of bone and mineral research 36 (5), 833-851	2021
Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom EE Lee, J Torous, M De Choudhury, CA Depp, SA Graham, HC Kim, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6 (9), 856-864	2021

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