AIMC Topic: Ophthalmology
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The performance of ChatGPT-4 and Bing Chat in frequently asked questions about glaucoma.
European journal of ophthalmology
Feb 19, 2025
PurposeTo evaluate the appropriateness and readability of the responses generated by ChatGPT-4 and Bing Chat to frequently asked questions about glaucoma.MethodThirty-four questions were generated for this study. Each question was directed three time...
Advancements and Prospects in Nanorobotic Applications for Ophthalmic Therapy.
ACS biomaterials science & engineering
Jan 17, 2025
This study provides a bibliometric and bibliographic review of emerging applications of micro- and nanotechnology in treating ocular diseases, with a primary focus on glaucoma. We aim to identify key research trends and analyze advancements in device...
Ophthalmology Journals' Guidelines on Generative Artificial Intelligence: A Comprehensive Analysis.
American journal of ophthalmology
Dec 30, 2024
PURPOSE: The integration of generative artificial intelligence (GAI) into scientific research and academic writing has generated considerable controversy. Currently, standards for using GAI in academic medicine remain undefined. This study aims to co...
Translating ophthalmic medical jargon with artificial intelligence: a comparative comprehension study.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Dec 9, 2024
OBJECTIVE: Our goal was to evaluate the efficacy of OpenAI's ChatGPT-4.0 large language model (LLM) in translating technical ophthalmology terminology into more comprehensible language for allied health care professionals and compare it with other LL...
Artificial intelligence in ophthalmology.
Current opinion in ophthalmology
Nov 27, 2024
PURPOSE OF REVIEW: To review role of artificial intelligence in medicine.
The use of artificial intelligence based chat bots in ophthalmology triage.
Eye (London, England)
Nov 26, 2024
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
Nov 19, 2024
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
Nov 14, 2024
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
Nov 7, 2024
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
Nov 4, 2024
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...
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