Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. - Qingyu Chen 001; Tiarnan D. L. Keenan; Elvira Agrón; Alexis Allot; Emily Guan; Bryant Duong; Amr S. Elsawy; Benjamin Hou; Cancan Xue; Sanjeeb Bhandari; Geoff Broadhead; Chantal Cousineau-Krieger; et al. (CoRR, 2024)

Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection? - Samantha Min Er Yew; Xiaofeng Lei; Jocelyn Hui Lin Goh; Yibing Chen; Sahana Srinivasan; Miao-li Chee; Krithi Pushpanathan; Ke Zou; Qingshan Hou; Zhi Da Soh; Cancan Xue; Marco Chak Yan Yu; et al. (CoRR, 2025)

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers. - Meng Wang 038; Tian Lin; Qingshan Hou; Aidi Lin; Jingcheng Wang; Qingsheng Peng; Truong X. Nguyen; Danqi Fang; Ke Zou; Ting Xu; Cancan Xue; Ten Cheer Quek; et al. (CoRR, 2025)

An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care. - Zhi Da Soh; Yang Bai; Kai Yu 009; Yang Zhou 017; Xiaofeng Lei; Sahil Thakur; Zann Lee; Lee Ching Linette Phang; Qingsheng Peng; Cancan Xue; Rachel Chong; Quan V. Hoang; et al. (CoRR, 2025)