Artificial Intelligence (AI)
Conditions
Brief 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.
Interventions
OTHERLarge 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.
Sponsors
Tsinghua University
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Physician Perception of Communication Quality in AI-Generated Content | Through study completion, an average of 1 week | Participants will assess the communication style of AI-generated content, focusing on factors such as empathy. Ratings will be collected using a standardized 5-point scale (range 1-5, where higher scores reflect higher perceived quality). |
Countries
China
Contacts
Primary ContactYixiao Jin
Outcome results
None listed