| Clinically applicable deep learning for diagnosis and referral in retinal disease J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ... Nature medicine 24 (9), 1342-1350, 2018 | 2321 | 2018 |
| 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 | 2311 | 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 | 1509 | 2019 |
| Influencing behaviour: The mindspace way P Dolan, M Hallsworth, D Halpern, D King, R Metcalfe, I Vlaev Journal of economic psychology 33 (1), 264-277, 2012 | 1012 | 2012 |
| MINDSPACE: influencing behaviour for public policy P Dolan, M Hallsworth, D Halpern, D King, I Vlaev Institute of Government, 2010 | 1006 | 2010 |
| A clinically applicable approach to continuous prediction of future acute kidney injury N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham, A Saraiva, ... Nature 572 (7767), 116-119, 2019 | 858 | 2019 |
| Technologies for global health P Howitt, A Darzi, GZ Yang, H Ashrafian, R Atun, J Barlow, A Blakemore, ... The Lancet 380 (9840), 507-535, 2012 | 505 | 2012 |
| 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 | 447 | 2021 |
| ‘Gamification’: Influencing health behaviours with games D King, F Greaves, C Exeter, A Darzi Journal of the Royal Society of Medicine 106 (3), 76-78, 2013 | 386 | 2013 |
| Smartphones let surgeons know WhatsApp: an analysis of communication in emergency surgical teams MJ Johnston, D King, S Arora, N Behar, T Athanasiou, N Sevdalis, A Darzi The American Journal of Surgery 209 (1), 45-51, 2015 | 375 | 2015 |
| The theory and practice of “nudging”: changing health behaviors I Vlaev, D King, P Dolan, A Darzi Public Administration Review 76 (4), 550-561, 2016 | 268 | 2016 |
| A systematic review to identify the factors that affect failure to rescue and escalation of care in surgery MJ Johnston, S Arora, D King, G Bouras, AM Almoudaris, R Davis, A Darzi Surgery 157 (4), 752-763, 2015 | 253 | 2015 |
| Predicting conversion to wet age-related macular degeneration using deep learning J Yim, R Chopra, T Spitz, J Winkens, A Obika, C Kelly, H Askham, M Lukic, ... Nature Medicine 26 (6), 892-899, 2020 | 237 | 2020 |
| Changing health behaviors using financial incentives: a review from behavioral economics I Vlaev, D King, A Darzi, P Dolan BMC public health 19, 1-9, 2019 | 233 | 2019 |
| Medication adherence apps: review and content analysis I Ahmed, NS Ahmad, S Ali, S Ali, A George, HS Danish, E Uppal, J Soo, ... JMIR mHealth and uHealth 6 (3), e6432, 2018 | 223 | 2018 |
| The ownership and clinical use of smartphones by doctors and nurses in the UK: a multicentre survey study MH Mobasheri, D King, M Johnston, S Gautama, S Purkayastha, A Darzi BMJ Innov 1 (4), 174-181, 2015 | 206 | 2015 |
| Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group V Sounderajah, H Ashrafian, R Aggarwal, J De Fauw, AK Denniston, ... Nature medicine 26 (6), 807-808, 2020 | 197 | 2020 |
| Distributed simulation–accessible immersive training R Kneebone, S Arora, D King, F Bello, N Sevdalis, E Kassab, R Aggarwal, ... Medical teacher 32 (1), 65-70, 2010 | 158 | 2010 |
| Associations between Internet-based patient ratings and conventional surveys of patient experience in the English NHS: an observational study F Greaves, UJ Pape, D King, A Darzi, A Majeed, RM Wachter, C Millett BMJ quality & safety 21 (7), 600-605, 2012 | 153 | 2012 |
| Smartphone breast applications–What's the evidence? MH Mobasheri, M Johnston, D King, D Leff, P Thiruchelvam, A Darzi The Breast 23 (5), 683-689, 2014 | 150 | 2014 |
Ara DarziProfessor of Surgery在 imperial.ac.uk 的电子邮件经过验证
