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Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning., , , , , , , and . CoRR, (2019)Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning., , , , , , , , , and 8 other author(s). CoRR, (2018)Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs, , , , , , , , , and 5 other author(s). JAMA, 316 (22): 2402-2410 (December 2016)Evaluating AI systems under uncertain ground truth: a case study in dermatology., , , , , , , , , and 10 other author(s). CoRR, (2023)Towards Accurate Differential Diagnosis with Large Language Models., , , , , , , , , and 18 other author(s). CoRR, (2023)Robust and Efficient Medical Imaging with Self-Supervision., , , , , , , , , and 24 other author(s). CoRR, (2022)MINT: A wrapper to make multi-modal and multi-image AI models interactive., , , , , , , , , and 3 other author(s). CoRR, (2024)Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning., , , , , , , and . CoRR, (2017)Predicting Risk of Developing Diabetic Retinopathy using Deep Learning., , , , , , , , , and 6 other author(s). CoRR, (2020)Towards Expert-Level Medical Question Answering with Large Language Models., , , , , , , , , and 21 other author(s). CoRR, (2023)