标题/作者	年份
Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions L Alzubaidi, J Zhang, AJ Humaidi, A Al-Dujaili, Y Duan, O Al-Shamma, ... Journal of big Data 8, 1-74	2021
Machine learning in medicine A Rajkomar, J Dean, I Kohane New England Journal of Medicine 380 (14), 1347-1358	2019
International evaluation of an AI system for breast cancer screening SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ... Nature 577 (7788), 89-94	2020
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis X Liu, L Faes, AU Kale, SK Wagner, DJ Fu, A Bruynseels, T Mahendiran, ... The lancet digital health 1 (6), e271-e297	2019
A survey on explainable artificial intelligence (xai): Toward medical xai E Tjoa, C Guan IEEE transactions on neural networks and learning systems 32 (11), 4793-4813	2020
Key challenges for delivering clinical impact with artificial intelligence CJ Kelly, A Karthikesalingam, M Suleyman, G Corrado, D King BMC medicine 17, 1-9	2019
Transfusion: Understanding transfer learning for medical imaging M Raghu, C Zhang, J Kleinberg, S Bengio Advances in neural information processing systems 32	2019
Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography K Zhang, X Liu, J Shen, Z Li, Y Sang, X Wu, Y Zha, W Liang, C Wang, ... Cell 181 (6), 1423-1433. e11	2020
Big data and machine learning algorithms for health-care delivery KY Ngiam, W Khor The Lancet Oncology 20 (5), e262-e273	2019
Artificial intelligence and management: The automation–augmentation paradox S Raisch, S Krakowski Academy of management review 46 (1), 192-210	2021
Time-series forecasting with deep learning: a survey B Lim, S Zohren Philosophical Transactions of the Royal Society A 379 (2194), 20200209	2021
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies M Nagendran, Y Chen, CA Lovejoy, AC Gordon, M Komorowski, ... bmj 368	2020
Liquid biopsy enters the clinic—implementation issues and future challenges M Ignatiadis, GW Sledge, SS Jeffrey Nature reviews Clinical oncology 18 (5), 297-312	2021
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database S Benjamens, P Dhunnoo, B Meskó NPJ digital medicine 3 (1), 118	2020
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis C Jin, W Chen, Y Cao, Z Xu, Z Tan, X Zhang, L Deng, C Zheng, J Zhou, ... Nature communications 11 (1), 5088	2020
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
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks TC Hollon, B Pandian, AR Adapa, E Urias, AV Save, SSS Khalsa, ... Nature medicine 26 (1), 52-58	2020
Rethinking drug design in the artificial intelligence era P Schneider, WP Walters, AT Plowright, N Sieroka, J Listgarten, ... Nature Reviews Drug Discovery 19 (5), 353-364	2020
Applications of artificial intelligence and machine learning in smart cities Z Ullah, F Al-Turjman, L Mostarda, R Gagliardi Computer Communications 154, 313-323	2020
IL-6 in inflammation, autoimmunity and cancer T Hirano International immunology 33 (3), 127-148	2021

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