Lessons learned from translating AI from development to deployment in healthcare

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan, Lily Peng, Marc Coram et al. · JAMA · 2016 · 7.5K citations

Computing, Computer Science, Ophthalmology +17

Ensuring Fairness in Machine Learning to Advance Health Equity

Alvin Rajkomar, Michaela Hardt, Michael Howell et al. · Annals of Internal Medicine · 2018 · 1.2K citations · Full text

Computing, Health Informatics, Health Systems +17

Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy

Jonathan Krause, Varun Gulshan, Ehsan Rahimy et al. · Ophthalmology · 2018 · 550 citations · Full text

Medicine, Computer Science, Ophthalmology +17

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

Livia Faes, Siegfried K. Wagner, Dun Jack Fu et al. · The Lancet Digital Health · 2019 · 312 citations · Full text

Computing, Computer Science, Health Informatics +17

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program

Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse et al. · npj Digital Medicine · 2019 · 227 citations · Full text

Medicine, Computer Science, Ophthalmology +17