Evaluating a Text-Prompt AI Assistant for Chest CT Scans (AI-REPORT Study)

This study aims to find out if an artificial intelligence (AI) system can help experienced radiologists write chest CT scan reports more quickly without lowering the quality of the report. Chest CT scans are common, and writing reports for them is a major part of a radiologist's job. In this trial, board-certified radiologists will interpret complex chest CT cases. For some cases, they will start with a complete draft report generated by the AI system, which they can review and edit as needed. For other cases, they will write the report from scratch without any AI help, following their usual routine. The main things we are measuring are: 1) how much time the AI draft saves, and 2) whether the final reports created with AI help are as good as or better than those written without it, as judged by other senior doctors who do not know which report came from which method. The hope is that this AI tool can make radiologists' work more efficient while maintaining high standards for patient care.

NCT Number	NCT07634861
Lead Sponsor	Shanghai Zhongshan Hospital Collaborators: Shanghai Geriatric Medical Center, Yangzhou No.1 People's Hospital, The Affiliated Hospital of Xuzhou Medical University, Affiliated Hospital of Jiangsu University, Dushu Lake Hospital Affiliated to Soochow University, China-Japan Union Hospital, Jilin University, Xiangya Hospital of Central South University, Lanzhou University Second Hospital, First Affiliated Hospital of Xinjiang Medical University, Peking University Cancer Hospital & Institute, Zhongshan Hospital (Xiamen), Fudan University, First People's Hospital of Kunming, Shanghai Minhang Central Hospital, Shanghai United Imaging Intelligence Ltd.
Conditions	Thoracic Diseases
Enrollment	100 participants
Start Date	2026-06-20
Primary Completion	2026-12-31 (estimated)
Study Completion	2027-02-15 (estimated)
Updated on ClinicalTrials.gov	2026-06-09