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Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images

JAMA Ophthalmology

Feb 8, 2024

Paolo S. Silva, MD; Dean Zhang, Et al.

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Machine learning (ML) algorithms have the potential to identify eyes with early diabetic retinopathy (DR) at increased risk for disease progression.

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Mobile app activity engagement by cancer patients and their caregivers informs remote monitoring

Nature

Reem Yunis, Stephanie J. Fonda, Et al.

February 9, 2024

Usability evaluation of mobile phone technologies for capturing cancer patient-reported outcomes and physical functions

National Library of Medicine

Ingrid Oakley-Girvan, Reem Yunis, Et al.

July 10, 2023

Digital Therapeutics: A Primer

White Paper

Richard "RJ" Kedziora, Luke Bischoff

March 9, 2023

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Prevalence of Diabetic Eye Diseases in American Indians and Alaska Natives (AI/AN) as Identified by the Indian Health Service’s National Teleophthalmology Program Using Ultrawide Field Imaging (UWFI)

Ophthalmic Epidemiology

Stephanie Fonda, Sven-Erik Bursell, Et al.

November 2, 2021