Using Artificial Intelligence to Improve Radiologists' Performance in Radiology Report Writing: a Randomised Controlled Trial

Not Applicable

Recruiting

• Conditions: Healthy

• Registration Number: NCT06907927
• Lead Sponsor: Wuhan Union Hospital, China

Brief Summary

This is a randomised controlled trial to assess whether artificial intelligence software can improve radiologists' performance in radiology report writing and improve the quality of radiology reports.

Detailed Description

Not available

Study Timeline

• Status Verified: 2025-03
• Study First Submitted: 2025-03-26
• Study First Submitted QC: 2025-03-26
• Last Update Submitted: 2025-03-26
• Study Start: 2025-04-01
• Study First Posted: 2025-04-02
• Last Update Posted: 2025-04-02
• Primary Completion: 2025-04-30
• Study Completion: 2025-04-30

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 100

Inclusion Criteria

1. Radiologists who submit reports;
2. Clinical experience of less than 10 years and more than six months;
3. An average of more than 10 radiology reports are submitted per day;
4. Participants provided signed informed consent.

Exclusion criteria：

1. Radiologists who review reports;
2. Clinical experience of less than 6 months or more than 10 years;
3. An average of less than 10 radiology reports are submitted per day.）

Exclusion Criteria

Not provided

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Error rates in radiology reports	1 month	Statistical analysis of errors in radiology reports submitted by study and control group physicians

Trial Locations

Locations (1)

Union Hospital，Tongji Medical College，Huazhong University of Science and Technology; 🇨🇳 Wuhan, Hubei, China