SingaporeHealthcare and life sciences2021 – ongoingSingHealth
SELENA+ AI retinal-image screening
SingHealth reported SELENA+ reduced human graders' workload by more than 50%
Problem
Singapore faced a shortage of trained professionals to identify patients at risk of serious eye disease.
Approach
The Singapore National Eye Centre, Singapore Eye Research Institute and NUS School of Computing developed SELENA+. The deep-learning system analysed retinal photographs for disease. Singapore's health minister reported deployment to 20 polyclinics in November 2021.
Results
Takeaway
SingHealth reported reduced grading workload as deployment expanded. It also identified diagnostic performance and local infrastructure as factors affecting the economics of screening.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
The health minister identified SELENA+'s developers and confirmed deployment to 20 polyclinics. He described its role in detecting eye disease amid staffing constraints.
SingHealth reported that SELENA+ reduced human grading workload by more than 50% and was being deployed nationwide. Its clinicians cautioned that screening economics depended on clinical performance and the operating environment.
Full details are in the original sources.
