Institute of Ophthalmology

Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology

Allison Chae, Michael S. Yao, Hersh Sagreiya et al.

2024 · 26 Zit.

Review of emerging trends and projection of future developments in large language models research in ophthalmology

Matthew Wong, Zhi Wei Lim, Krithi Pushpanathan et al.

2023 · 25 Zit.

Foundation models in ophthalmology: opportunities and challenges

Mertcan Sevgi, Eden Ruffell, Fares Antaki et al.

2024 · 18 Zit.

Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health

Weizhi Ma, Bin Sheng, Yang Liu et al.

2024 · 14 Zit.

Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study

Henry David Jeffry Hogg, Katie Brittain, M. Dawn Teare et al.

2023 · 11 Zit.

AI explainability in oculomics: How it works, its role in establishing trust, and what still needs to be addressed

Songyang An, Kelvin Yi Chong Teo, Michael V. McConnell et al.

2025 · 7 Zit.

Exploring the Dilemma of AI Use in Medical Research and Knowledge Synthesis: A Perspective on Deep Research Tools

Ariel Yuhan Ong, David A. Merle, Siegfried K. Wagner et al.

2025 · 5 Zit.

Revealing the Impact of Pre-training Data on Medical Foundation Models

Yukun Zhou, Zheyuan Wang, Yi-Lan Wu et al.

2025 · 4 Zit.

Directrices para presentación de informes de ensayos clínicos sobre intervenciones con inteligencia artificial: extensión CONSORT-AI

Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.

2024 · 1 Zit.

Implementing Implementation Science; A Bibliometric Study of Qualitative Research in Clinical Artificial Intelligence

Henry David Jeffry Hogg, Mohaimen Al-Zubaidy, Pearse A. Keane et al.

2021 · 1 Zit.

OphAgent: A Generalisable Ophthalmic Agentic System for Global Eye Care

Tien Yin Wong, Lie Ju, Jinyuan Wang et al.

2026 · 0 Zit.

Benchmarking eye health advice from generative artificial intelligence in terms of factual accuracy, safety, comprehensiveness and readability

Aleksander Stupnicki, Bernardo Mendes, Maxwell Reinstein et al.

2026 · 0 Zit.