AI Tool May Cut Macular Edema Referrals - Summary - MDSpire
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AI Tool May Cut Macular Edema Referrals
An artificial intelligence–based optical coherence tomography pathway met noninferiority criteria for false-positive diabetic macular edema referrals and was associated with fewer referral decisions in a randomized clinical trial.
To evaluate whether an artificial intelligence–based optical coherence tomography (AI-OCT) system can improve diabetic macular edema (DME) triage when used as an add-on secondary screening tool.
Approach:
Key Findings:
False-positive DME referral rate was 24% in the AI-OCT group compared to 69% in the standard-care group.
Referral rate reduced from 100% to 39% under the AI-OCT pathway.
Referral sensitivity was 100% in both groups.
Referral specificity was 87% in the AI-OCT group compared to 0% in the control group.
Interpretation:
The AI-OCT system demonstrated a significant reduction in false-positive referrals compared to standard care.
Limitations:
Validation study enrolled patients from a tertiary eye hospital, limiting generalizability.
Study evaluated OCT scans from a single device manufacturer.
Findings may not apply to broader diabetic retinopathy screening populations or other retinal diseases.
Trial did not test real-world implementation.
Referral decisions in the AI-OCT group were hypothetical as all patients underwent specialist assessment.
