AI for Myopia Management
Explore data quality, risk prediction and longitudinal monitoring in myopia management.
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
Explore data quality, risk prediction and longitudinal monitoring in myopia management.
A seven-session programme on AI-assisted myopia analytics, from refractive development and ocular biometry to forecasting, wearable data and monitoring dashboards. Synthetic and illustrative exercises focus on uncertainty, external validation and clinical oversight.
What you can take forward
- Understand risk stratification and data-quality needs for myopia analytics
- Interpret longitudinal forecasts and their uncertainty
- Design an AI-assisted monitoring pathway with appropriate oversight
Programme outline
Seven sessions. A practical view of the field.
Optometrists, ophthalmologists, paediatric vision-care teams and researchers
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
Myopia Fundamentals and AI Opportunities
Coverage
Refractive development; axial elongation; risk factors; longitudinal monitoring; AI prediction scope.
Applied activity
Interpret sample refractive error and axial length trends.
- 0290 minutes
Risk Stratification and Prediction Models
Coverage
Age; family history; refraction; axial length; lifestyle variables; feature quality; risk models.
Applied activity
Build a conceptual risk-factor matrix from synthetic patient profiles.
- 0390 minutes
Ocular Biometry, OCT and Data Quality
Coverage
Axial length; keratometry; imaging; repeatability; device variation; missing data.
Applied activity
Compare simulated measurements and assess data quality.
- 0490 minutes
Longitudinal Forecasting with Machine Learning
Coverage
Regression and time-series methods; train/test leakage; uncertainty; external validation; forecast error.
Applied activity
Visualise predicted versus observed axial length progression.
- 0590 minutes
Personalised Monitoring and Decision Support
Coverage
Risk-based follow-up; monitoring response to evidence-based interventions; shared decision support; uncertainty.
Applied activity
Review a synthetic progression dashboard and escalation prompts.
- 0690 minutes
Digital Behavioural Monitoring and Wearables
Coverage
Near-work, screen-use and outdoor-activity measures; sensor validity; adherence; privacy.
Applied activity
Evaluate an illustrative wearable-data dashboard and confounders.
- 0790 minutes
Myopia Management Analytics Capstone
Coverage
Longitudinal registry design; dashboards; evaluation metrics; clinical oversight; deployment barriers.
Applied activity
Group design of an AI-assisted myopia monitoring pathway.
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.