Charles R. Cleland
Keppel Street
London, ENG WC1E7HT, United Kingdom
London, ENG WC1E7HT, United Kingdom
Last Updated: 09/26/2026
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Found 24 publications
Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population.
Journal: Diabetes care
Published: March 11, 2026
Smartphone-Based Fundus Imaging in Global Eye Care: Closing the Gap.
Journal: Progress in retinal and eye research
Published: December 31, 2025
Quality-of-Life and Utility Values Associated With Diabetic Retinopathy in Tanzania.
Journal: Value in health regional issues
Published: October 16, 2025
Independent and openly reported head-to-head comparative validation studies of AI medical devices: a necessary step towards safe and responsible clinical AI deployment.
Journal: The Lancet. Digital health
Published: March 15, 2025
Implementing an artificial intelligence system into a diabetic eye screening programme in Tanzania.
Journal: Transactions of the Royal Society of Tropical Medicine and Hygiene
Published: September 03, 2024
Artificial intelligence-supported diabetic retinopathy screening in Tanzania: rationale and design of a randomised controlled trial.
Journal: BMJ open
Published: January 25, 2024
Integrated image-based deep learning and language models for primary diabetes care.
Journal: Nature medicine
Published: November 26, 2023
Comparing the International Clinical Diabetic Retinopathy (ICDR) severity scale.
Journal: Community eye health
Published: August 21, 2023
Considerations for storing and managing retinal images.
Journal: Community eye health
Published: August 21, 2023
Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology.
Journal: Nature communications
Published: June 29, 2023
Artificial intelligence for diabetic retinopathy in low-income and middle-income countries: a scoping review.
Journal: BMJ open diabetes research & care
Published: March 27, 2023
Last Updated: 09/26/2026