NCT06907927

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.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
100

participants targeted

Target at P75+ for not_applicable healthy

Timeline
Completed

Started Apr 2025

Shorter than P25 for not_applicable healthy

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 26, 2025

Completed
6 days until next milestone

Study Start

First participant enrolled

April 1, 2025

Completed
1 day until next milestone

First Posted

Study publicly available on registry

April 2, 2025

Completed
28 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2025

Completed
Last Updated

April 2, 2025

Status Verified

March 1, 2025

Enrollment Period

29 days

First QC Date

March 26, 2025

Last Update Submit

March 26, 2025

Conditions

Healthy

Outcome Measures

Primary Outcomes (1)

  • Error rates in radiology reports

    Statistical analysis of errors in radiology reports submitted by study and control group physicians

    1 month

Study Arms (2)

Control group

PLACEBO COMPARATOR
Behavioral: Control group

Experimental group

EXPERIMENTAL
Behavioral: Experimental group

Interventions

Control groupBEHAVIORAL

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

Control group
Experimental groupBEHAVIORAL

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

Experimental group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

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

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Union Hospital，Tongji Medical College，Huazhong University of Science and Technology

Wuhan, Hubei, 430000, China

RECRUITING

MeSH Terms

Interventions

Control Groups

Intervention Hierarchy (Ancestors)

Epidemiologic Research DesignEpidemiologic MethodsInvestigative TechniquesResearch DesignMethods

Central Study Contacts

Lian Yang

CONTACT

18986273791yanglian@hust.edu

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 26, 2025

First Posted

April 2, 2025

Study Start

April 1, 2025

Primary Completion

April 30, 2025

Study Completion

April 30, 2025

Last Updated

April 2, 2025

Record last verified: 2025-03

Locations

CN(1)