National Eye Institute

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

Qiao Jin, Fangyuan Chen, Yiliang Zhou et al.

2024 · 106 Zit.

Foundational Considerations for Artificial Intelligence Using Ophthalmic Images

Michael D. Abràmoff, Brad Cunningham, Bakul Patel et al.

2021 · 90 Zit.

Impact of Artificial Intelligence on Medical Education in Ophthalmology

Nita Valikodath, Emily Cole, Daniel Shu Wei Ting et al.

2021 · 62 Zit.

Deepfakes in Ophthalmology

Jimmy Chen, Aaron S. Coyner, R.V. Paul Chan et al.

2021 · 51 Zit.

From Data to Deployment

Eliot R. Dow, Tiarnán D L Keenan, Eleonora M. Lad et al.

2022 · 40 Zit.

Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology

Nita Valikodath, Tala Al-Khaled, Emily Cole et al.

2021 · 32 Zit.

Improving Interpretability in Machine Diagnosis

Xiaoshuang Shi, Tiarnán D L Keenan, Qingyu Chen et al.

2021 · 22 Zit.

Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images

Aaron S. Coyner, Praveer Singh, James M. Brown et al.

2023 · 21 Zit.

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

Rui Yang, Qingcheng Zeng, Keen You et al.

2024 · 12 Zit.

AI Workflow, External Validation, and Development in Eye Disease Diagnosis

Qingyu Chen, Tiarnán D L Keenan, Elvira Agrón et al.

2025 · 7 Zit.

Artificial intelligence at the national eye institute

Noha Sherif, Emily Y. Chew, Michael F. Chiang et al.

2022 · 2 Zit.

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

Qiao Jin, Fangyuan Chen, Yiliang Zhou et al.

2024 · 2 Zit.

From the Editor’s Desk

Bhavna Chawla

2018 · 0 Zit.

Retinal imaging in an era of open science and privacy protection

Nayoon Gim, Marian Blazes, Clara I. Sánchez et al.

2025 · 0 Zit.