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Ophthalmology|December 17, 2018
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathyRory Sayres, Ankur Taly, Ehsan Rahimy, et al.
Journal of Diabetes Research|December 31, 2020
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human GradersJirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin ConditionsRajeev V Rikhye, Grace Eunhae Hong, Preeti Singh, et al.
Scientific Data|March 4, 2026
Individual Brain Charting: fifth release of high-resolution fMRI data for cognitive mappingAna Fernanda Ponce, Himanshu Aggarwal, Swetha Shankar, et al.
JAMA Network Open|November 12, 2020
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesDavid F Steiner, Kunal Nagpal, Rory Sayres, et al.
Nature Medicine|September 23, 2024
A toolbox for surfacing health equity harms and biases in large language modelsStephen R Pfohl, Heather Cole-Lewis, Rory Sayres, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programPaisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
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