Massachusetts Eye and Ear Infirmary

Assessment of a Large Language Model’s Responses to Questions and Cases About Glaucoma and Retina Management

Andy Huang, Kyle Hirabayashi, Laura Barna et al.

2024 · 120 Zit.

A systematic review of federated learning applications for biomedical data

Matthew G. Crowson, Dana Moukheiber, Aldo Robles Arévalo et al.

2022 · 112 Zit.

Tackling prediction uncertainty in machine learning for healthcare

Michelle Chua, Doyun Kim, Jongmun Choi et al.

2022 · 105 Zit.

The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology

Shaunak K. Bakshi, Shawn R. Lin, Daniel Shu Wei Ting et al.

2020 · 82 Zit.

Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection

Daniel R. Saunders, Peter J. Bex, Russell L. Woods

2013 · 57 Zit.

Inherent Bias in Large Language Models: A Random Sampling Analysis

Noel Ayoub, Karthik Balakrishnan, Marc S. Ayoub et al.

2024 · 43 Zit.

Performance and Consistency of ChatGPT‐4 Versus Otolaryngologists: A Clinical Case Series

Jérôme R. Lechien, Mattheuw R. Naunheim, Antonino Maniaci et al.

2024 · 41 Zit.

Chatbots Vs. Human Experts: Evaluating Diagnostic Performance of Chatbots in Uveitis and the Perspectives on AI Adoption in Ophthalmology

William Rojas‐Carabali, Alok Sen, Aniruddha Agarwal et al.

2023 · 40 Zit.

Bias and Non-Diversity of Big Data in Artificial Intelligence: Focus on Retinal Diseases

Cris Martin P. Jacoba, Leo Anthony Celi, Anja Lorch et al.

2023 · 34 Zit.

The utility of ChatGPT as a generative medical translator

David R. Grimm, Y.-J. Lee, Katherine Hu et al.

2024 · 23 Zit.

Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

Melinda Y. Chang, Gena Heidary, Shannon Beres et al.

2024 · 23 Zit.

ChatGPT-4 accuracy for patient education in laryngopharyngeal reflux

Jérôme R. Lechien, Thomas L. Carroll, Molly N. Huston et al.

2024 · 22 Zit.

The Limitations of Artificial Intelligence in Head and Neck Oncology

Karthik Rao, Verónica Fernández‐Álvarez, Orlando Guntinas‐Lichius et al.

2025 · 20 Zit.

Large Language Models in Ophthalmology: A Review of Publications from Top Ophthalmology Journals

Akshay Agnihotri, Ines D. Nagel, Jose Carlo M. Artiaga et al.

2024 · 17 Zit.

American Academy of Otolaryngology–Head and Neck Surgery (AAO‐HNS) Report on Artificial Intelligence

Noel Ayoub, Anaïs Rameau, Michael Brenner et al.

2024 · 17 Zit.