Accessibility settings

This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3579) Telehealth and Telemonitoring (2258) Diabetes Surveillance and Epidemiology (42) Diabetes Health Services and System Innovations (149) Ophthalmology (86) Artificial Intelligence in Diabetes Care and Prevention (69) Collateral Damage of the Pandemic: Excess deaths due to disruptions in healthcare and lockdowns (18)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67047, first published .
Close-up of an older man's eye and wrinkled skin, with a finger gently touching the cheek.

Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

Authors of this article:

Anshul Chauhan1 Author Orcid Image ;   Anju Goyal2 Author Orcid Image ;   Ritika Masih1 Author Orcid Image ;   Gagandeep Kaur1 Author Orcid Image ;   Lakshay Kumar1 Author Orcid Image ;   ­ Neha1 Author Orcid Image ;   Harsh Rastogi1 Author Orcid Image ;   Sonam Kumar1 Author Orcid Image ;   Bidhi Lord Singh1 Author Orcid Image ;   Preeti Syal2 Author Orcid Image ;   Vishali Gupta1 Author Orcid Image ;   Luke Vale3 Author Orcid Image ;   Mona Duggal1, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.