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 · 110 Zit.

A systematic review of federated learning applications for biomedical data

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

2022 · 108 Zit.

Tackling prediction uncertainty in machine learning for healthcare

Michelle Chua, Doyun Kim, Jongmun Choi et al.

2022 · 97 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 · 76 Zit.

Inherent Bias in Large Language Models: A Random Sampling Analysis

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

2024 · 40 Zit.

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

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

2024 · 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 · 21 Zit.

Advancing Toward a Common Data Model in Ophthalmology

Cindy X. Cai, William Halfpenny, Michael V. Boland et al.

2023 · 20 Zit.

Overcoming language barriers in pediatric care: a multilingual, AI-driven curriculum for global healthcare education

Fouzi Benboujja, Elizabeth Hartnick, Evelyn Zablah et al.

2024 · 17 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 · 15 Zit.

Applications of artificial intelligence-enabled robots and chatbots in ophthalmology: recent advances and future trends

Yeganeh Madadi, Mohammad Delsoz, Albert S Khouri et al.

2024 · 14 Zit.

Utility of GPT-4 as an Informational Patient Resource in Otolaryngology

Krish Suresh, Vinay K. Rathi, Obinna Nwosu et al.

2023 · 12 Zit.

The Limitations of Artificial Intelligence in Head and Neck Oncology

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

2025 · 12 Zit.

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

Noel Ayoub, Anaïs Rameau, Michael Brenner et al.

2024 · 10 Zit.