AIMC Topic: Ophthalmology
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Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases.
The British journal of ophthalmology
Sep 20, 2024
BACKGROUND/AIMS: This study assesses the proficiency of Generative Pre-trained Transformer (GPT)-4 in answering questions about complex clinical ophthalmology cases.
Performance of ChatGPT and Bard on the official part 1 FRCOphth practice questions.
The British journal of ophthalmology
Sep 20, 2024
BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT), a large language model by OpenAI, and Bard, Google's artificial intelligence (AI) chatbot, have been evaluated in various contexts. This study aims to assess these models' proficiency in ...
Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering.
The British journal of ophthalmology
Sep 20, 2024
BACKGROUND: Evidence on the performance of Generative Pre-trained Transformer 4 (GPT-4), a large language model (LLM), in the ophthalmology question-answering domain is needed.
A comparative evaluation of deep learning approaches for ophthalmology.
Scientific reports
Sep 18, 2024
There is a growing number of publicly available ophthalmic imaging datasets and open-source code for Machine Learning algorithms. This allows ophthalmic researchers and practitioners to independently perform various deep-learning tasks. With the adva...
Gemini AI vs. ChatGPT: A comprehensive examination alongside ophthalmology residents in medical knowledge.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Sep 15, 2024
INTRODUCTION: The rapid advancement of artificial intelligence (AI), particularly in large language models like ChatGPT and Google's Gemini AI, marks a transformative era in technological innovation. This study explores the potential of AI in ophthal...
Exploring Artificial Intelligence Programs' Understanding of Lens, Cataract, and Refractive Surgery Information.
Middle East African journal of ophthalmology
Sep 13, 2024
PURPOSE: We aimed to evaluate the success of Chat Generative Pre-trained Transformer (ChatGPT), Bing, and Bard artificial intelligence programs, which were released free of charge by three different manufacturers, in correctly answering questions abo...
Diagnostic Performance of the Offline Medios Artificial Intelligence for Glaucoma Detection in a Rural Tele-Ophthalmology Setting.
Ophthalmology. Glaucoma
Sep 12, 2024
PURPOSE: This study assesses the diagnostic efficacy of offline Medios Artificial Intelligence (AI) glaucoma software in a primary eye care setting, using nonmydriatic fundus images from Remidio's Fundus-on-Phone (FOP NM-10). Artificial intelligence ...
Integrating AI with tele-ophthalmology in Canada: a review.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Sep 7, 2024
The field of ophthalmology is rapidly advancing, with technological innovations enhancing the diagnosis and management of eye diseases. Tele-ophthalmology, or the use of telemedicine for ophthalmology, has emerged as a promising solution to improve a...
What Are Artificial Intelligence-Driven Large Language Models Saying about ASOPRS Surgeons? Implications for Scope of Practice.
Ophthalmic plastic and reconstructive surgery
Sep 5, 2024
Vision language models in ophthalmology.
Current opinion in ophthalmology
Aug 26, 2024
PURPOSE OF REVIEW: Vision Language Models are an emerging paradigm in artificial intelligence that offers the potential to natively analyze both image and textual data simultaneously, within a single model. The fusion of these two modalities is of pa...
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