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Rapid Abdominal Diagnosis With AI & Radiology

Development and Application of an AI Model for Accurate Interpretation of Abdominal Enhanced CT Images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500110163
Enrollment
Unknown
Registered
2025-10-09
Start date
2024-01-19
Completion date
Unknown
Last updated
2025-10-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None

Interventions

Gold Standard:Postoperative or puncture pathology and enhanced CT report
Index test:Abdominal CT-Report Bimodal Basic Large Model (Deep Learning-based AI Diagnostic System)

Sponsors

The FIrst Affiliated Hospital, College of Medicine, Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Multiphase contrast-enhanced abdominal CT covering the full abdominal region and corresponding radiology reports matched to the CT images.

Exclusion criteria

Exclusion criteria: 1. CT images with poor diagnostic quality due to artifacts, including but not limited to: Convolution artifacts caused by improper arm positioning (e.g., arms placed alongside the body instead of above the head), Respiratory motion artifacts due to inadequate breath-holding.

Design outcomes

Primary

MeasureTime frame
Area under ROC (AUC);

Secondary

MeasureTime frame
Specificity;Sensitivity;

Countries

China

Contacts

Public ContactQi Zhang

The FIrst Affiliated Hospital, College of Medicine, Zhejiang University

qi.zhang@zju.edu.cn+86 571 87236629

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026