Evaluation of AI-Generated Clinical Advice by Physicians

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.

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Key information

Conditions

Artificial Intelligence (AI)

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Tsinghua University, Beijing, Beijing Municipality, China

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Large Language Model

Other

An artificial intelligence system generating clinical recommendations using prompts, designed to simulate clinical advisory outputs. The protocol focuses on structured medical language generation.

Primary outcomes

Physician Response to AI-Generated Medical Content

Time frame: 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 outcomes

Physician Perception of Communication Quality in AI-Generated Content

Time frame: 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).

Study contacts

Contact information is provided by the study sponsor or research team.

Yixiao Jin

CONTACT

[email protected]

+86 17721026692

Sponsors and collaborators

Lead sponsor

Tsinghua University

Other

Registry information

Official study title

A Study on the Evaluation of Artificial Intelligence-Generated Clinical Advisory Outputs in Medical Professional Contexts

Important dates

Study start: 2025
Primary completion: 2025
Study completion: 2025
First posted: May 20, 2025
Registry last updated: May 20, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

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