| 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 | 2245 | 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 | 2198 | 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 | 1421 | 2019 |
| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature 620 (7972), 172-180, 2023 | 898 | 2023 |
| 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 | 830 | 2019 |
| Underspecification presents challenges for credibility in modern machine learning A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... Journal of Machine Learning Research 23 (226), 1-61, 2022 | 657 | 2022 |
| Big self-supervised models advance medical image classification S Azizi, B Mustafa, F Ryan, Z Beaver, J Freyberg, J Deaton, A Loh, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 481 | 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 | 395 | 2021 |
| Microvascular disease and risk of cardiovascular events among individuals with type 2 diabetes: a population-level cohort study JRW Brownrigg, CO Hughes, D Burleigh, A Karthikesalingam, ... The lancet Diabetes & endocrinology 4 (7), 588-597, 2016 | 327 | 2016 |
| Mortality from ruptured abdominal aortic aneurysms: clinical lessons from a comparison of outcomes in England and the USA A Karthikesalingam, PJ Holt, A Vidal-Diez, BA Ozdemir, JD Poloniecki, ... The Lancet 383 (9921), 963-969, 2014 | 323 | 2014 |
| Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ... arXiv preprint arXiv:1809.04430, 2018 | 317 | 2018 |
| Volume-outcome relationship in surgery for esophageal malignancy: systematic review and meta-analysis 2000-2011 SR Markar, A Karthikesalingam, S Thrumurthy, DE Low Journal of Gastrointestinal Surgery 16 (5), 1055-1063, 2012 | 297 | 2012 |
| Single-incision laparoscopic surgery (SILS) vs. conventional multiport cholecystectomy: systematic review and meta-analysis SR Markar, A Karthikesalingam, S Thrumurthy, L Muirhead, J Kinross, ... Surgical endoscopy 26, 1205-1213, 2012 | 269 | 2012 |
| Towards expert-level medical question answering with large language models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv:2305.09617, 2023 | 252 | 2023 |
| Duplex ultrasound and contrast-enhanced ultrasound versus computed tomography for the detection of endoleak after EVAR: systematic review and bivariate meta-analysis TA Mirza, A Karthikesalingam, D Jackson, SR Walsh, PJ Holt, PD Hayes, ... European Journal of Vascular and Endovascular Surgery 39 (4), 418-428, 2010 | 239 | 2010 |
| A systematic review of mid-term outcomes of thoracic endovascular repair (TEVAR) of chronic type B aortic dissection SG Thrumurthy, A Karthikesalingam, BO Patterson, PJE Holt, RJ Hinchliffe, ... European Journal of Vascular and Endovascular Surgery 42 (5), 632-647, 2011 | 234 | 2011 |
| 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 | 227 | 2020 |
| Meta-analysis of randomized controlled trials comparing laparoscopic with open mesh repair of recurrent inguinal hernia A Karthikesalingam, SR Markar, PJE Holt, RK Praseedom Journal of British Surgery 97 (1), 4-11, 2010 | 226 | 2010 |
| Contrastive training for improved out-of-distribution detection J Winkens, R Bunel, AG Roy, R Stanforth, V Natarajan, JR Ledsam, ... arXiv preprint arXiv:2007.05566, 2020 | 225 | 2020 |
| Technical factors that affect anastomotic integrity following esophagectomy: systematic review and meta-analysis SR Markar, S Arya, A Karthikesalingam, GB Hanna Annals of surgical oncology 20, 4274-4281, 2013 | 222 | 2013 |
