Condition: Urologic Diseases · Sponsor: First Affiliated Hospital of Fujian Medical University
This multicenter retrospective study aims to evaluate the diagnostic and therapeutic performance of three large language models-ChatGPT, Gemini and Deepseek-using 800 archived inpatient medical records from urology departments across four tertiary hospitals. The study will focus on the accuracy and applicability of these models in disease recognition, preliminary diagnosis and treatment recommendation generation, in order to explore their potential value and limitations in supporting clinical decision-making in real-world settings.
This description comes directly from the study's public registry record.
Ning Xu · +86-13235907575 · drxun@fjmu.edu.cn
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| The First Affiliated Hospital of Fujian Medical University | Fuzhou, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07378358