Condition: Relevant Conditions Identification · Sponsor: Capital Medical University
This study will evaluate whether three-minute six-dimensions education(3M-6D education) can improve the reliability of large language models as medical assistants for the general public. Participants will be randomly assigned to receive or not receive 3M-6D education and then use ChatGPT, Gemini, or non-AI information resources. The study will assess relevant condition identification, disposition concordance, red-flag identification, and NASA-TLX score.
This description comes directly from the study's public registry record.
Xunming Ji · 01083198962 · jixm@ccmu.edu.cn
Chuanjie Wu · 01083199439 · wuchuanjie@ccmu.edu.cn
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| Beijing Ctiy | Beijing, Beijing Municipality, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07651280