AIMC Topic: Ophthalmology

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[Artificial intelligence in medicine-Opportunities and risks from an ethical perspective].

Die Ophthalmologie
Imaging disciplines, such as ophthalmology, offer a wide range of opportunities for the beneficial use of artificial intelligence (AI). The analysis of images and data by trained algorithms has the potential to facilitate making the diagnosis and pat...

Comparison of ChatGPT-4o, Google Gemini 1.5 Pro, Microsoft Copilot Pro, and Ophthalmologists in the management of uveitis and ocular inflammation: A comparative study of large language models.

Journal francais d'ophtalmologie
PURPOSE: The aim of this study was to compare the latest large language models (LLMs) ChatGPT-4o, Google Gemini 1.5 Pro and Microsoft Copilot Pro developed by three different companies, with each other and with a group of ophthalmologists, to reveal ...

Advancing ophthalmology with large language models: Applications, challenges, and future directions.

Survey of ophthalmology
In recent years, with the rapid development of artificial intelligence (AI) technology, large language models (LLMs), as powerful tools, are expected to transform traditional medical practices and improve medical efficiency and quality. In the field ...

Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence.

Medicina (Kaunas, Lithuania)
The integration of artificial intelligence (AI) in ophthalmology is transforming the field, offering new opportunities to enhance diagnostic accuracy, personalize treatment plans, and improve service delivery. This review provides a comprehensive ove...

The performance of ChatGPT-4 and Bing Chat in frequently asked questions about glaucoma.

European journal of ophthalmology
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...

confocal microscopy in ophthalmology: research trends from a bibliometric analysis.

Clinical & experimental optometry
CLINICAL RELEVANCE: In vivo confocal microscopy (IVCM) is a pivotal imaging tool in ophthalmology, enabling the non-invasive, real-time visualisation of corneal microstructures. Its clinical importance lies in its ability to diagnose and monitor a wi...

Advancements and Prospects in Nanorobotic Applications for Ophthalmic Therapy.

ACS biomaterials science & engineering
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
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
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
PURPOSE OF REVIEW: To review role of artificial intelligence in medicine.