AIMC Topic: Ophthalmology

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Adherence to Updated Race and Ethnicity Reporting Guidance in Ophthalmology Journals.

JAMA network open
IMPORTANCE: The updated race and ethnicity reporting guidelines published in the AMA Manual of Style: A Guide for Authors and Editors highlight the importance of using specific racial and ethnic categories rather than generalized terms, promoting inc...

Enhancing medical students' diagnostic accuracy of infectious keratitis with AI-generated images.

BMC medical education
BACKGROUND: Developing students' ability to accurately diagnose various types of keratitis is challenging. This study aims to compare the effectiveness of teaching methods-real cases, artificial intelligence (AI)-generated images, and real medical im...

Diabetic retinopathy in rural communities: a review of barriers to access of care and potential solutions.

Annals of medicine
INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 million Americans diagnosed with DM, the disease exerts a significant burden on healthcare systems, especially in rural areas where access to care is li...

A comparative analysis of DeepSeek R1, DeepSeek-R1-Lite, OpenAi o1 Pro, and Grok 3 performance on ophthalmology board-style questions.

Scientific reports
The ability of large language models (LLMs) to accurately answer medical board-style questions reflects their potential to benefit medical education and real-time clinical decision-making. With the recent advance to reasoning models, the latest LLMs ...

Large language models provide discordant information compared to ophthalmology guidelines.

Scientific reports
To evaluate the agreement of LLMs with the Preferred Practice Patterns (PPP) guidelines developed by the American Academy of Ophthalmology (AAO). Open questions based on the AAO PPP were submitted to five LLMs: GPT-o1 and GPT-4o by OpenAI, Claude 3.5...

Evaluating the novel role of ChatGPT-4 in addressing corneal ulcer queries: An AI-powered insight.

European journal of ophthalmology
PurposeChatGPT-4, a natural language processing-based AI model, is increasingly being applied in healthcare, facilitating education, research, and clinical decision-making support. This study explores ChatGPT-4's capability to deliver accurate and de...

Stakeholder Attitudes on AI Integration in Ophthalmology.

Klinische Monatsblatter fur Augenheilkunde
Artificial intelligence (AI) is gaining widespread traction in ophthalmology, with multiple screening and diagnostic tools already being approved by U. S. and EU authorities. However, the adoption of these tools among medical professionals and their ...

The potential of artificial intelligence reading label system on the training of ophthalmologists in retinal diseases, a multicenter bimodal multi-disease study.

BMC medical education
OBJECTIVE: To assess the potential of artificial intelligence reading label system on the training of ophthalmologists in a multicenter bimodal multi-disease study.

Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and English.

Narra J
The rapid evolution of generative artificial intelligence (genAI) has ushered in a new era of digital medical consultations, with patients turning to AI-driven tools for guidance. The emergence of Chinese-developed genAI models such as DeepSeek-R1 an...