Trustworthy Evaluation of Clinical AI for Analysis of Medical Images in Diverse PopulationsJiri Fajtl, Alicja R. Rudnicka, Roshan A. Welikala et al.|NEJM AI|2024Cited by 14
Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort studyAbraham Olvera‐Barrios, Alicja R. Rudnicka, Louis Bolter et al.|BMJ Open Diabetes Research & Care|2023Cited by 12
Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programmeCharlotte Wahlich, Alicja R. Rudnicka, Lakshmi Chandrasekaran et al.|Diabetes Research and Clinical Practice|2024Cited by 11
Two-year recall for people with no diabetic retinopathy: a multi-ethnic population-based retrospective cohort study using real-world data to quantify the effectAbraham Olvera‐Barrios, Christopher G. Owen, Alicja R. Rudnicka et al.|British Journal of Ophthalmology|2023Cited by 10
Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in EnglandAlicja R. Rudnicka, Royce Shakespeare, Ryan Chambers et al.|The Lancet Digital Health|2025Cited by 8