Skip to content

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

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

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06907927
Enrollment
100
Registered
2025-04-02
Start date
2025-04-01
Completion date
2025-04-30
Last updated
2025-04-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

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.

Interventions

BEHAVIORALControl 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

BEHAVIORALExperimental 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

Sponsors

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

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

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.)

Design outcomes

Primary

MeasureTime frameDescription
Error rates in radiology reports1 monthStatistical analysis of errors in radiology reports submitted by study and control group physicians

Countries

China

Contacts

Primary ContactLian Yang
yanglian@hust.edu18986273791

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026