Peer-reviewedCC BY-NC-ND 4.0Nature Communications
ACCESS2 study: the potential for autonomous AI to mitigate disparities in diabetic retinopathy screening in youth
Related
- The role of remote patient monitoring to mitigate health disparities and improve care, 2023-2024
- A Robust and Trustable Approach to Incorporate Medical Domain Knowledge in Machine Learning Models for Diabetic Retinopathy Screening Using Routine Lab Results
- Predicting Retinopathy of Prematurity in Thailand: A Practical Model for Risk-Based Screening
- Cost-Effectiveness of Telemedicine-Based Screening Programs for Retinopathy of Prematurity in Low- and Middle-Income Countries
- Artificial intelligence-supported diabetic retinopathy screening in Tanzania: a randomised controlled trial
BibTeX
@article{wolf2026access2,
title = {{ACCESS2 study: the potential for autonomous AI to mitigate disparities in diabetic retinopathy screening in youth}},
author = {Risa M. Wolf and Roomasa Channa and T. Y. Alvin Liu and Elizabeth A. Brown and Lee Bromberger and Neha Parimi and Anum Zehra and Dhruva Patel and Bernard Pan and Yoohee Claire Kim and Aliyah Shehadeh and Harold P. Lehmann and Michael D. Abramoff},
journal = {Nature Communications},
year = {2026},
month = oct,
doi = {10.1038/s41467-026-78842-w},
url = {https://www.nature.com/articles/s41467-026-78842-w},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - ACCESS2 study: the potential for autonomous AI to mitigate disparities in diabetic retinopathy screening in youth
AU - Risa M. Wolf
AU - Roomasa Channa
AU - T. Y. Alvin Liu
AU - Elizabeth A. Brown
AU - Lee Bromberger
AU - Neha Parimi
AU - Anum Zehra
AU - Dhruva Patel
AU - Bernard Pan
AU - Yoohee Claire Kim
AU - Aliyah Shehadeh
AU - Harold P. Lehmann
AU - Michael D. Abramoff
PY - 2026
DA - 2026/10/23
JO - Nature Communications
DO - 10.1038/s41467-026-78842-w
UR - https://www.nature.com/articles/s41467-026-78842-w
SN - 2041-1723
ER -