Prospective pragmatic trial of automated retinal photography and AI glaucoma screening in Australian primary care
Abstract There are no prospective clinical studies evaluating artificial intelligence implementation for glaucoma detection in real-world settings. We developed an automated retinal photography and AI-based screening system and prospectively assessed its accuracy, feasibility, and acceptability in A...
Saved in:
| Main Authors: | Catherine L. Jan, Sanil Joseph, Algis J. Vingrys, Jacqueline Henwood, Zongyuan Ge, Randall S. Stafford, Mingguang He |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01768-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance of a Deep Learning System and Performance of Optometrists for the Detection of Glaucomatous Optic Neuropathy Using Colour Retinal Photographs
by: Catherine L. Jan, et al.
Published: (2024-11-01) -
Multi-centre comparison between device-independent web-browser perimetry (Melbourne Rapid Fields-web) and SITA-Faster for glaucoma
by: Joyce Tiang, et al.
Published: (2025-02-01) -
Generative AI in Pragmatics: Assessing the Accuracy of Automated Speech Act Classification in Pinter’s The Birthday Party
by: Tadej Todorović, et al.
Published: (2025-06-01) -
Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages
by: Sirisha Senthil, et al.
Published: (2025-01-01) -
Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.
by: Sirisha Senthil, et al.
Published: (2025-01-01)