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Recruiting NCT07634861

NCT07634861 Evaluating a Text-Prompt AI Assistant for Chest CT Scans (AI-REPORT Study)

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Clinical Trial Summary
NCT ID NCT07634861
Status Recruiting
Phase —
Sponsor Shanghai Zhongshan Hospital
Condition Thoracic Diseases
Study Type INTERVENTIONAL
Enrollment 100 participants
Start Date 2026-06-20
Primary Completion 2026-12-31

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type INTERVENTIONAL
Interventions
AI-generated report for chest CTStandard reporting procedure (no AI assistance)

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 100 participants in total. It began in 2026-06-20 with a primary completion date of 2026-12-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

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.

Eligibility Criteria

Inclusion Criteria: * Active board certification and ongoing routine clinical practice as an attending radiologist * Independent institutional authority for chest CT image interpretation and final official diagnostic report issuance * A minimum of three years of post-certification clinical experience in specialized thoracic imaging * Legal and cognitive competence for study participation, with voluntary provision of written informed consent after full understanding of study purpose, procedures, risks and benefits Exclusion Criteria: * Direct participation in the development, training or validation of the trial's evaluated AI system * Ongoing participation in concurrent studies with potential risks of interpretation bias, cognitive fatigue or study procedure interference (investigator-assessed) * Any actual or perceived conflict of interest related to the evaluated AI system or its developers that may compromise objectivity in image interpretation and diagnostic reporting

Contact & Investigator

Central Contact

Xiaodan Ye, MD, PhD

✉ yuanyxd@163.com

📞 +86-13761459998

Principal Investigator

Mengsu Zeng, MD, PhD

STUDY CHAIR

Department of Radiology, Zhongshan Hospital, Fudan University

Frequently Asked Questions

Who can join the NCT07634861 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Thoracic Diseases. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07634861 currently recruiting?

Yes, NCT07634861 is actively recruiting participants. Contact the research team at yuanyxd@163.com for enrollment information.

Where is the NCT07634861 trial being conducted?

This trial is being conducted at Shanghai, China, Shanghai, China.

Who is sponsoring the NCT07634861 clinical trial?

NCT07634861 is sponsored by Shanghai Zhongshan Hospital. The principal investigator is Mengsu Zeng, MD, PhD at Department of Radiology, Zhongshan Hospital, Fudan University. The trial plans to enroll 100 participants.

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