Evaluation of AI-Generated Clinical Advice by Physicians

Not Applicable

Not yet recruiting

• Conditions: Artificial Intelligence (AI)

• Registration Number: NCT06980467
• Lead Sponsor: Tsinghua University

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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2025-04-28
• Status Verified: 2025-05
• Study First Submitted QC: 2025-05-12
• Last Update Submitted: 2025-05-12
• Study Start: 2025-05-15
• Study First Posted: 2025-05-20
• Last Update Posted: 2025-05-20
• Primary Completion: 2025-05-22
• Study Completion: 2025-05-23

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 8

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.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: CROSSOVER

Primary Outcome Measures

Name	Time	Method
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 Outcome Measures

Name	Time	Method
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).

Trial Locations

Locations (2)

Tsinghua University; 🇨🇳 Beijing, Beijing, China

Shanghai Health and Medical Center; 🇨🇳 Wu Xi, Jiang Su, China