AI in Optometry Practice
Understand where AI can support vision-care workflows—and where professional judgement remains essential.
Organised by Technology Innovation Hub (TIH), IIT Guwahati
7 sessions · 10.5 hours
Duration
Online / hybrid
Format
Schedule
Tuesday and Friday, 6:30–8:00 PM IST; session 7 on Tuesday of Week 4. Contact CFT for the next cohort's start date.
About this programme
Understand where AI can support vision-care workflows—and where professional judgement remains essential.
A seven-session programme exploring AI-assisted refraction, retinal screening, ocular image analysis, corneal topography and practice operations. Applied exercises use illustrative or synthetic scenarios to support responsible evaluation and adoption, rather than clinical certification.
What you can take forward
- Assess AI support for refraction, screening and ocular-image workflows
- Review evidence, quality control and referral boundaries
- Prepare a responsible AI-adoption plan for an optometry practice
Programme outline
Seven sessions. A practical view of the field.
Optometrists, optometry students, vision-care professionals and optical practice managers
Session schedule
Tuesday and Friday, 6:30–8:00 PM IST; session 7 on Tuesday of Week 4. Contact CFT for the next cohort's start date.
How each session is structured
Each 90-minute session combines 45 minutes of faculty instruction, 30 minutes of guided demonstration or case study, and 15 minutes of discussion.
- 0190 minutes
AI and Digital Transformation of Optometry
Coverage
AI basics; vision-care workflow; applications, boundaries and professional accountability.
Applied activity
Map an optometry patient journey and potential AI support points.
- 0290 minutes
AI-Assisted Refraction and Visual Assessment
Coverage
Objective refraction technologies; image/sensor measurements; visual acuity automation; accuracy and quality control.
Applied activity
Review simulated refractive measurements and identify error sources.
- 0390 minutes
Retinal Screening and Referral Support
Coverage
Fundus imaging; image-quality grading; DR screening; optic-disc features; screening vs diagnosis.
Applied activity
Apply referral criteria to anonymised illustrative image scenarios.
- 0490 minutes
Computer Vision for Ocular Images
Coverage
Image enhancement; classification; segmentation; corneal and retinal image features; explainability.
Applied activity
Demonstrate a no-code image classification and segmentation pipeline.
- 0590 minutes
Corneal Topography and Personalised Vision Care
Coverage
Corneal maps; contact-lens fitting support research; ocular surface assessment; predictive models and limitations.
Applied activity
Explore simulated corneal topography outputs and fitting-support criteria.
- 0690 minutes
AI for Practice Operations and Patient Communication
Coverage
Scheduling; records; reminders; workflow analytics; generative AI drafting; privacy and verification.
Applied activity
Draft and audit a synthetic patient education note and appointment workflow.
- 0790 minutes
Implementation and Responsible Adoption Workshop
Coverage
Vendor evaluation; evidence; costs; integration; staff training; bias; monitoring; escalation to clinicians.
Applied activity
Prepare a mini AI-adoption plan for an optometry practice.
Suggested assessment
Brief pre/post knowledge checks and a final applied case or workflow exercise. Suggested completion threshold: at least 80% attendance plus submission of the final exercise.
Partners
AI in healthcare and vision sciences, underwater exploration, robotics, sensors, cyber-physical systems and tech/product development.
Explore partner programmesFocus domains
The domain labels describe this programme’s catalogue alignment, not a separate promise of availability in every field.