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

March 26, 2025 updated by: Wuhan Union Hospital, China
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.

Study Overview

Status

Recruiting

Conditions

Study Type

Interventional

Enrollment (Estimated)

100

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Hubei
      • Wuhan, Hubei, China, 430000
        • Recruiting
        • Union Hospital,Tongji Medical College,Huazhong University of Science and Technology
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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.)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Experimental group
the radiologists enrolled in the study will be randomly divided into two groups: the experimental group used AI(Artificial Intelligence) software to assist in the submission of radiology reports and the control group did not use any AI software to submit their reports
Placebo Comparator: Control group
the radiologists enrolled in the study will be randomly divided into two groups: the experimental group used AI(Artificial Intelligence) software to assist in the submission of radiology reports and the control group did not use any AI software to submit their reports

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Error rates in radiology reports
Time Frame: 1 month
Statistical analysis of errors in radiology reports submitted by study and control group physicians
1 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

April 1, 2025

Primary Completion (Estimated)

April 30, 2025

Study Completion (Estimated)

April 30, 2025

Study Registration Dates

First Submitted

March 26, 2025

First Submitted That Met QC Criteria

March 26, 2025

First Posted (Actual)

April 2, 2025

Study Record Updates

Last Update Posted (Actual)

April 2, 2025

Last Update Submitted That Met QC Criteria

March 26, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 2025-0033

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Healthy

Clinical Trials on Control group

Subscribe