This study aims to evaluate and compare the quality and comprehensibility of responses generated by 5 artificial intelligence chatbots - ChatGPT-4, Claude, Mistral, Grok, and Google PaLM - to the most frequently asked questions about uveitis. Google ...
BACKGROUND: Grading fluorescein angiography (FA) for uveitis is complex, often leading to the oversight of retinal inflammation in clinical studies. This study aims to develop an automated method for grading retinal inflammation.
Translational vision science & technology
May 1, 2025
PURPOSE: Quantitative assessment of inflammation is critical for the accurate diagnosis and effective management of uveitis. This study aims to introduce a novel three-dimensional vision transformer approach using anterior segment optical coherence t...
BACKGROUND/PURPOSE: Evaluate the performance of a deep learning algorithm for the automated detection and grading of vitritis on ultrawide-field imaging.
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