Improving radiology report writing with artificial intelligence
Using Artificial Intelligence to Improve Radiologists' Performance in Radiology Report Writing: a Randomised Controlled Trial
This study is testing if using artificial intelligence can help radiologists write better reports compared to those who don’t use the AI.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 100 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Academic / other |
| Locations | 1 site (Wuhan, Hubei) |
| Trial ID | NCT06907927 on ClinicalTrials.gov |
What this trial studies
This randomized controlled trial evaluates the effectiveness of artificial intelligence software in enhancing the performance of radiologists in writing radiology reports. The study involves two groups: a control group that does not use the AI software and an experimental group that does. By comparing the quality of reports generated by both groups, the trial aims to determine if AI can lead to significant improvements in report writing. Radiologists with specific experience levels and report submission rates are eligible to participate.
Who should consider this trial
Good fit: Ideal candidates for this study are radiologists with clinical experience between six months and ten years who submit more than ten reports daily.
Not a fit: Radiologists who review reports or have less than six months or more than ten years of clinical experience will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to higher quality radiology reports, improving patient care and diagnostic accuracy.
How similar studies have performed: While the use of AI in radiology is a growing field, this specific approach to improving report writing through a randomized controlled trial is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
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.）
Where this trial is running
Wuhan, Hubei
- Union Hospital，Tongji Medical College，Huazhong University of Science and Technology — Wuhan, Hubei, China (Recruiting)
Study contacts
- Study coordinator: Lian Yang
- Email: yanglian@hust.edu
- Phone: 18986273791
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.