AIMC Topic: Ophthalmology

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The use of artificial intelligence based chat bots in ophthalmology triage.

Eye (London, England)
PURPOSE: To evaluate AI-based chat bots ability to accurately answer common patient's questions in the field of ophthalmology.

Using machine learning to identify pediatric ophthalmologists.

Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus
This cross-sectional study used data from the American Academy of Ophthalmology IRIS Registry (Intelligent Research in Sight) and machine learning algorithms to identify pediatric ophthalmologists based on physician coding patterns. A random forest m...

Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) chatbots such as ChatGPT are expected to impact vision health care significantly. Their potential to optimize the consultation process and diagnostic capabilities across range of ophthalmic subspecialties have...

Do Ophthalmology Journals Have AI Policies for Manuscript Writing?

American journal of ophthalmology
PURPOSE: To assess the prevalence of artificial intelligence (AI) usage policies in manuscript writing in PubMed-indexed ophthalmology journals and examine the relationship between the adoption of these policies and journal characteristics.

Foundation models in ophthalmology: opportunities and challenges.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Last year marked the development of the first foundation model in ophthalmology, RETFound, setting the stage for generalizable medical artificial intelligence (GMAI) that can adapt to novel tasks. Additionally, rapid advancements i...

A look at the emerging trends of large language models in ophthalmology.

Current opinion in ophthalmology
PURPOSE OF REVIEW: As the surge in large language models (LLMs) and generative artificial intelligence (AI) applications in ophthalmology continue to expand, this review seeks to update physicians of the current progress, to catalyze further work to ...

Accuracy of large language models in answering ophthalmology board-style questions: A meta-analysis.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
PURPOSE: To evaluate the accuracy of large language models (LLMs) in answering ophthalmology board-style questions.