Ivan Chim
University of California, San Diego, Department of Biology, La Jolla, United States
Publications
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Research Article
LLMs and Stargardt's Disease
Author(s): Gloria Wu*, Lochan Bojja, Aadjot Sidhu, Obaid Khan, Hrishi Paliath-Pathiyal, Bojia Liu, Margaret C Wang and Ivan Chim
Background/Objective: Stargardt's disease is the most common form of inherited juvenile macular degeneration affecting 1 in 8,000-10,000 individuals worldwide, with a slight predominance towards females. As large language models (LLMs) increasingly serve as sources of health information, understanding their effectiveness in providing accurate information about rare genetic conditions becomes essential. This study aims to evaluate and compare four major LLMs (ChatGPT, Gemini, Claude, and Character.ai) regarding Stargardt's disease information delivery across different genders. Methods: Four LLMs were queried using standardized prompts simulating a 14-year-old patient (male/female) newly diagnosed with Stargardt's disease. Responses were analyzed for word count, readability (Flesch-Kincaid Grade Level), response time, and content s.. Read More»