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

Huazhong University of Science and Technology

Status: Enrolling

Conditions: Healthy

Treatments: Behavioral: Experimental group; Behavioral: Control group

Study type: Interventional

Funder types: Other

Identifiers

NCT06907927

2025-0033

Details and patient eligibility

About

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.

Enrollment: 100 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and 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.）

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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100 participants in 2 patient groups, including a placebo group

Control group

Placebo Comparator group

Treatment:

Behavioral: Control group

Experimental group

Experimental group

Treatment:

Behavioral: Experimental group