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CC BY-NC V4.0, Open Access
Conference proceeding
Automated Diabetic Retinopathy Diagnosis for Improved Clinical Decision Support
MEDINFO 2023 — The Future Is Accessible, Vol.310, pp.1490-1491
Studies in health technology and informatics, 310
19th World Congress on Medical and Health Informatics: MEDINFO 2023 — The Future Is Accessible, Sydney, Australia (08/07/2023–12/07/2023)
2024
PMID: 38269711
Abstract
We report on the prediction performance of artificial intelligence components embedded into a telehealth platform underlying a newly established eye screening service connecting metropolitan-based ophthalmologists to patients in remote indigenous communities in Northern Territory and Queensland. Two AI-based components embedded into the telehealth platform were evaluated on retinal images collected from 328 unique patients: an image quality alert system and a diabetic retinopathy detection system. Compared to ophthalmologists, at an individual image level, the image quality detection algorithm was correct 72% of the time, and 85% accurate at a patient level. The retinopathy detection algorithm was correct 85% accurate at an individual image level, and 87% accurate at a patient level. This evaluation provides assurances for future service models using AI to complement and support decisions of eye health assessment teams.
Details
- Title
- Automated Diabetic Retinopathy Diagnosis for Improved Clinical Decision Support
- Authors/Creators
- Justin Boyle - CSIRO, Australian E-Health Research CentreJanardhan Vignarajan - CSIRO, Australian E-Health Research CentreSajib Saha - CSIRO, Australian E-Health Research Centre
- Contributors
- Jen Bichel-Findlay (Editor)Paula Otero (Editor)Phillip Scott (Editor)Elaine Huesing (Editor)
- Publication Details
- MEDINFO 2023 — The Future Is Accessible, Vol.310, pp.1490-1491
- Conference
- 19th World Congress on Medical and Health Informatics: MEDINFO 2023 — The Future Is Accessible, Sydney, Australia (08/07/2023–12/07/2023)
- Series
- Studies in health technology and informatics; 310
- Publisher
- IOS Press
- Number of pages
- 2
- Identifiers
- 991005634031407891
- Copyright
- © 2024 International Medical Informatics Association (IMIA) and IOS Press
- Murdoch Affiliation
- Centre for Biosecurity and One Health
- Language
- English
- Resource Type
- Conference proceeding
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