Chia, Mark A;
Zhou, Yukun;
Keane, Pearse A;
(2024)
A New Foundation Model for Multimodal Ophthalmic Images: Advancing Disease Detection and Prediction.
New England Journal of Medicine (NEJM)
, 1
(12)
10.1056/aie2401024.
![[thumbnail of draft_Proof_hi.pdf]](https://discovery-pp.ucl.ac.uk/style/images/fileicons/text.png) |
Text
draft_Proof_hi.pdf - Accepted Version Access restricted to UCL open access staff until 21 June 2025. Download (130kB) |
Abstract
Foundation models are a powerful tool in ophthalmology for building generalizable systems that can be efficiently applied to a range of ocular and systemic health tasks. A new foundation model for ophthalmic images demonstrates important progress, particularly through its flexible approach to multimodal training and its application to image segmentation tasks.
| Type: | Article |
|---|---|
| Title: | A New Foundation Model for Multimodal Ophthalmic Images: Advancing Disease Detection and Prediction |
| DOI: | 10.1056/aie2401024 |
| Publisher version: | https://doi.org/10.1056/aie2401024 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10202592 |
Archive Staff Only
 |
View Item |
