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Performance of a deep-learning algorithm vs manual grading for detecting diabetic retinopathy in India V Gulshan, RP Rajan, K Widner, D Wu, P Wubbels, T Rhodes, ... JAMA ophthalmology 137 (9), 987-993, 2019 | 251 | 2019 |
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program P Ruamviboonsuk, J Krause, P Chotcomwongse, R Sayres, R Raman, ... NPJ digital medicine 2 (1), 25, 2019 | 230 | 2019 |
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Lessons learned from translating AI from development to deployment in healthcare K Widner, S Virmani, J Krause, J Nayar, R Tiwari, ER Pedersen, D Jeji, ... Nature Medicine 29 (6), 1304-1306, 2023 | 41 | 2023 |
Challenges in evaluating clinical deployments of deep learning assisted diagnostics for diabetic retinopathy screening G Wolff, R Sayres, V Gulshan, K Widner, J Krause, D Jadeja, ... Investigative Ophthalmology & Visual Science 61 (7), 2045-2045, 2020 | 3 | 2020 |
Real-World Performance of a Deep Learning Diabetic Retinopathy Algorithm P Singh, L Yang, J Nayar, Y Matias, G Corrado, D Wesbter, S Virmani, ... Investigative Ophthalmology & Visual Science 65 (7), 2323-2323, 2024 | | 2024 |
Validating a Deep Learning based Diabetic Retinopathy Model among Patients with Young-onset diabetes A Tan-Torres, P Pradeep, A Brant, L Yang, P Singh, T Ali, I Traynis, ... Investigative Ophthalmology & Visual Science 65 (7), 5657-5657, 2024 | | 2024 |