← Cases
MalaysiaHealthcare and life sciences2018 – ongoing

Ministry of Health

DR.MATA diabetic-retinopathy screening

Malaysia piloted retinal-image AI that the health ministry said produced reports within 30 seconds

WorkingCompany's own claim

Problem

Primary-care clinics lacked trained retinal-image graders. Delayed reports disrupted follow-up for patients with diabetes.

Approach

A ministry team began DR.MATA in 2018 and developed it with Qmed Asia. The system assessed retinal images for diabetic retinopathy and supported referral decisions. Uncertain cases received review and informed subsequent model training.

Results

within 30 secondsretinal-image processing and report generation time reported by the ministryCompany's own claim[1]
83%accuracy described by the ministry as agreement with expert graders in validationCompany's own claim[1]

Takeaway

The ministry reported higher screening uptake at pilot sites without quantifying the increase. Its validation figure described agreement with expert graders.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

  1. Healthtech: Making health diagnoses with AI
    The Edge Malaysia29 Dec 2025News article

Source summaries

[1]The Edge Malaysia29 Dec 2025

The Edge interviewed a ministry official about development and pilot deployment. It reported the ministry's turnaround and validation claims.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗