Large Language Model: An artificial intelligence system generating clinical recommendations using prompts, designed to simulate clinical advisory outputs. The protocol focuses on structured medical language generation.
Study summary
This study examines how artificial intelligence systems interact with medical professionals. Researchers will compare physician responses to different AI-generated outputs in simulative medical scenarios.
Eligibility
Sex
ALL
Min age
18 Years
Max age
80 Years
Healthy volunteers
Accepted
Inclusion Criteria:
* Age ≥ 18 years old;
* Licensed physician or medical professional qualified to perform clinical evaluations;
* Willing to sign informed consent and commit time to participate in the study.
Exclusion Criteria:
* Unable to dedicate sufficient time to complete the study tasks;
* Unable or unwilling to understand and follow study instructions.
Primary outcome measure(s)
Physician Response to AI-Generated Medical Content — Through study completion, an average of 1 week Participants will rate their level of agreement with AI-generated clinical suggestions presented in simulated medical scenarios. Responses will be recorded using a standardized rating scale (range 1-5, where higher scores indicate better agreement).
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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