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

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology100 enrolled

Overview

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 Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

OTHER

Masking

SINGLE

Enrollment

100

Conditions

Healthy

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

Experimental groupBEHAVIORAL

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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.）

Locations (1)

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

Wuhan, Hubei, China

RECRUITING

Outcomes

Primary Outcomes

Error rates in radiology reports

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

Time frame: 1 month

Central Contacts

Lian Yang

CONTACT

18986273791 yanglian@hust.edu

Data from ClinicalTrials.gov

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