| 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 | 2481 | 2018 |
| 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 | 1647 | 2019 |
| Artificial intelligence and deep learning in ophthalmology T DSW, P LR, P L, C JP, L AY, R R, T GSW, S L, K PA, W TY. British Journal of Ophthalmology, 1-34, 2019 | 1192* | 2019 |
| The lancet global health commission on global eye health: vision beyond 2020 MJ Burton, J Ramke, AP Marques, RRA Bourne, N Congdon, I Jones, ... The Lancet Global Health 9 (4), e489-e551, 2021 | 1078 | 2021 |
| Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ... The Lancet Digital Health 2 (10), e537-e548, 2020 | 899 | 2020 |
| Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ... The Lancet Digital Health 2 (10), e549-e560, 2020 | 740 | 2020 |
| Deep learning in ophthalmology: the technical and clinical considerations DSW Ting, L Peng, AV Varadarajan, PA Keane, PM Burlina, MF Chiang, ... Progress in retinal and eye research 72, 100759, 2019 | 463 | 2019 |
| Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... bmj 377, 2022 | 366 | 2022 |
| Analysis of Normal Retinal Nerve Fiber Layer Thickness by Age, Sex, and Race Using Spectral Domain Optical Coherence Tomography T Alasil, K Wang, PA Keane, H Lee, N Baniasadi, JF de Boer, TC Chen Journal of Glaucoma, 2012 | 345 | 2012 |
| Evaluation of age-related macular degeneration with optical coherence tomography PA Keane, PJ Patel, S Liakopoulos, FM Heussen, SR Sadda, A Tufail Survey of ophthalmology 57 (5), 389-414, 2012 | 333 | 2012 |
| Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error MS Tedja, R Wojciechowski, PG Hysi, N Eriksson, NA Furlotte, ... Nature genetics 50 (6), 834-848, 2018 | 319 | 2018 |
| Fundus photography in the 21st century—a review of recent technological advances and their implications for worldwide healthcare N Panwar, P Huang, J Lee, PA Keane, TS Chuan, A Richhariya, S Teoh, ... Telemedicine and e-Health 22 (3), 198-208, 2016 | 306 | 2016 |
| A foundation model for generalizable disease detection from retinal images Y Zhou, MA Chia, SK Wagner, MS Ayhan, DJ Williamson, RR Struyven, ... Nature 622 (7981), 156-163, 2023 | 284 | 2023 |
| SPIRIT-AI and CONSORT-AI Working Group. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension X Liu, S Cruz Rivera, D Moher, MJ Calvert, AK Denniston Nat Med 26 (9), 1364-1374, 2020 | 282 | 2020 |
| Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study L Faes, SK Wagner, DJ Fu, X Liu, E Korot, JR Ledsam, T Back, R Chopra, ... The Lancet Digital Health 1 (5), e232-e242, 2019 | 280 | 2019 |
| A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability SM Khan, X Liu, S Nath, E Korot, L Faes, SK Wagner, PA Keane, ... The Lancet Digital Health 3 (1), e51-e66, 2021 | 273 | 2021 |
| Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries P Gharahkhani, E Jorgenson, P Hysi, AP Khawaja, S Pendergrass, X Han, ... Nature communications 12 (1), 1258, 2021 | 267 | 2021 |
| 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 | 266 | 2020 |
| Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma AP Khawaja, JN Cooke Bailey, NJ Wareham, RA Scott, M Simcoe, ... Nature genetics 50 (6), 778-782, 2018 | 264 | 2018 |
| Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression JE Craig, X Han, A Qassim, M Hassall, JN Cooke Bailey, TG Kinzy, ... Nature genetics 52 (2), 160-166, 2020 | 259 | 2020 |
Alastair DennistonConsultant Ophthalmologist/Hon Professor, University Hospitals Birmingham/University of Birmingham在 bham.ac.uk 的电子邮件经过验证
