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.
Age 18 years or greater, male or female;
Completed primary school or higher education;
Able to use a smartphone or computer to complete online interaction;
No history of acute ischemic stroke, systemic lupus erythematosus, gastric ulcer, pneumonia, acute cardiac infarction, urinary tract infection, uterine fibroids, diabetes, osteoarthritis, or migraine.
Currently or previously employed as a healthcare worker;
Previously received systematic medical training;
Currently involved in concurrent research that may interfere with the results of the present trial;
The investigator considered that the participant had other conditions that might affect compliance or preclude participation.
Capital Medical University
Lead sponsor
Xuanwu Hospital, Beijing
Collaborator