Multicenter National Parallel Cluster Randomized Controlled Superiority Trial Comparing an Artificial Intelligence-Based Screening Strategy to Usual Care for Improving Eye-Care Follow-Up Among Patients With Diabetes (AI-BRIDGE Trial)

Summary

This pragmatic clinical trial is being conducted to test the effectiveness of AI-BRIDGE (Artificial Intelligence-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education), in improving screening and follow-up eye care compared to usual-care among patients with diabetes across 8 primary care clinics. AI-BRIDGE is an implementation program which includes an autonomous AI-based protocol that provides screening for diabetic retinopathy (DR) disease at primary care visits, as well as patient education on disease and, if a patient screens positive for referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason, assistance with scheduling an in-person, follow-up eye-care visit.

Description

Eligibility

Age range

22+ years

Sex

All

Healthy volunteers

No

Interventions

• Other
  AI-BRIDGE

  AI-BRIDGE intervention includes (1) acquisition of eye photos and autonomous (i.e. without human oversight) AI-based identification of referable or non-referable DR or insufficient image at the primary care clinic, (2) provision of patient educational material identical to that provided to the usual-care group, and (3) clinic champion-led assistance with scheduling eye-care follow-up visits for patients with referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason.

• Other
  Educational Materials

  Participants in the Usual Care arm will receive educational materials about diabetic retinopathy during the intervention period.

Location