An interventional study of Radiology Report GPT (AI-Based Radiology Report Quality-Control System) in Radiology and Medical Errors, sponsored by Huazhong University of Science and Technology. Not yet recruiting. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-08.
Sponsored by Huazhong University of Science and Technology · Not applicable, Interventional, and Health services research
The goal of this clinical trial is to learn whether an artificial intelligence (AI)-based radiology report quality-control system can improve the accuracy and workflow efficiency of routine radiology reporting among active radiologists at Tongji Hospital. The main questions it aims to answer are:
Researchers will compare radiologists assigned to receive access to Radiology Report GPT with radiologists who continue the usual reporting workflow without access to the study AI system. Radiologists are randomized at the individual level. Because CT and MR reports commonly involve both a reporting radiologist and a reviewing radiologist, report-level analyses will classify reports according to AI availability at the two workflow stages, resulting in four combinations of reporter and reviewer AI exposure. The primary randomized evaluation will cover the first month after intervention initiation, with prespecified secondary and exploratory analyses extending through 3 months.
Participants will:
Final-report accuracy will be assessed independently of the intervention AI system and will include human review. Additional prespecified outcomes will examine report revisions, AI interaction measures, stage-specific and cross-stage workflow effects, recommended imaging follow-up and other downstream health-care utilization, patient satisfaction, and referring-clinician satisfaction.
Huazhong University of Science and Technology is the lead sponsor of 242 studies on the registry; 61 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Exclusion Criteria:
Radiologists enrolled in this arm receive access to the study AI radiology report quality-control system within the routine reporting workflow. After report submission, the system performs automated pre-review and may present alerts and suggested revisions. Radiologists retain final decision authority.
Device: Radiology Report GPT (AI-Based Radiology Report Quality-Control System)
Radiologists enrolled in this arm continue the existing RIS reporting and reviewing workflow without access to the study AI quality-control alerts or suggested revisions.
Radiology Report GPT is an AI-based pre-review and quality-control system for radiology reports. After a report is submitted, the system may identify potential textual/terminology errors, patient-sex inconsistencies, formatting or numerical errors, examination-type inconsistencies, findings-impression inconsistencies, lesion location/count discrepancies, omissions between findings and impression, and missing or incorrect diagnostic classifications. When a potential issue is detected, the system presents an alert and suggested revision. The radiologist remains responsible for the final report and may accept, modify, or ignore the suggestion. The system does not automatically edit or sign the report. The exact software/model version and the trial deployment mode will be locked and documented before intervention activation.
Presence of at Least One Confirmed Residual Quality-Control Problem in the Final Radiology Report
For each eligible final radiology report, this binary outcome indicates whether at least one confirmed prespecified residual quality-control problem is present (yes/no). The outcome-assessment process will be independent of the intervention AI system and will include human review. Prespecified categories include textual/terminology errors, sex or examination-type inconsistencies, formatting/numerical errors, findings-impression inconsistencies, lesion location/count discrepancies, omissions, and missing or incorrect diagnostic classifications.
Time frame: During the first month after intervention initiation
Radiology Report Turnaround Time
Turnaround time will be measured for each eligible radiology report as the elapsed time, from completion of the imaging examination to final report approval. Both timestamps will be obtained from the hospital information systems. Lower values indicate faster completion of the radiology reporting workflow.
Time frame: During the first month after intervention initiation
Inter-Report Interval
Workflow-pace proxy measured between consecutive reports completed by the same reporting radiologist on the same calendar day. This measure reflects overall reporting pace rather than active time spent on a specific report and will therefore be analyzed as a secondary outcome.
Time frame: During the first month after intervention initiation
Inter-Check Interval
Workflow-pace proxy measured between consecutive report approvals completed by the same reviewing radiologist on the same calendar day. This measure reflects overall reviewing pace rather than active time spent reviewing a specific report and will therefore be analyzed as a secondary outcome.
Time frame: During the first month after intervention initiation
Patient Adherence
Patient adherence will be operationalized using downstream clinical records linked to eligible index radiology reports. Indicators may include whether recommended follow-up imaging or other recommended follow-up care is completed, time to completion, and related subsequent health-care utilization used to characterize follow-up behavior. Health-care utilization not linked to a documented recommendation will be treated as exploratory and will not by itself be interpreted as adherence.
Time frame: During the 3-month secondary evaluation period
Patient Satisfaction
Patient satisfaction will be assessed by telephone follow-up or a prespecified questionnaire.
Time frame: During the 3-month secondary evaluation period
Referring-Clinician Satisfaction
Satisfaction among clinicians who use radiology reports will be assessed using a prespecified questionnaire.
Time frame: During the 3-month secondary evaluation period
No study locations are listed for this record.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
This study is not yet recruiting, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.
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Huazhong University of Science and Technology