AI Agents for Optometry
Consistent recall management is the highest-return intervention for practice growth, and the one most practices do inconsistently. AI handles it systematically, while AI-assisted imaging analysis expands screening throughput for population health work.
Optometry AI Agents
Why AI Matters in Optometry
- Diabetic eye disease is the leading cause of preventable blindness in working-age adults, and the screening bottleneck is not patient willingness or clinical capability but throughput - the number of retinal images a grader can review in a working day.
- Recall management is the single highest-return intervention for practice growth, yet most practices rely on letters and manual chase processes that miss a significant portion of their patient base.
- Patient return for second-year and third-year examinations drops dramatically without structured, timely outreach - creating health risk for patients and a preventable revenue gap for practices.
- AI-assisted retinal imaging analysis that allows trained graders to review more images in the same time directly expands the number of patients who can be screened and treated before irreversible damage occurs.
Top Use Cases
Retinal Image Grading Assistance
Analyse fundus photographs and OCT scans to screen for diabetic retinopathy, glaucoma, and macular pathology - flagging cases requiring clinical review and generating structured grading reports.
Patient Recall and Reappointment Automation
Identify patients by recall interval and date of last examination, send personalised reminder sequences, and convert responses into booked appointments without front desk involvement.
Frame Recommendation and Optical Dispensing Support
Recommend frame styles suited to a patient's prescription, face shape, and lifestyle using AI analysis, and present compatible lens options with explanations of the clinical rationale.
Clinical Documentation and Letter Generation
Generate structured examination records and referral letters from voice or structured input during the consultation, reducing post-clinic documentation time significantly.