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A Study on the Time Prediction of Deep Vein Thrombosis Based on Artificial Intelligence

A Study on the Time Prediction of Deep Vein Thrombosis Based on Artificial Intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115332
Enrollment
Unknown
Registered
2025-12-24
Start date
2025-03-01
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Deep venous thrombosis

Interventions

Observational group:None

Sponsors

The Second Affiliated Hospital of University of South China.
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged >= 18 years and diagnosed with deep vein thrombosis (DVT); 2. Have complete imaging examination (such as CT, MRI, or ultrasound) data; 3. The time of thrombosis has a clear clinical record or inference basis; 4. Have complete clinical information (such as laboratory test results, medical history, etc.).

Exclusion criteria

Exclusion criteria: 1. Patients with missing data or poor image quality; 2. Cases where the time of thrombosis cannot be clearly inferred; 3. Patients who cannot complete CTA imaging examination or are allergic to contrast agents; 4. Patients with other serious diseases or systemic diseases that may interfere with the study results.

Design outcomes

Primary

MeasureTime frame
Evaluate the accuracy of the model;Area Under the Curve;

Secondary

MeasureTime frame
Model evaluation metrics on the validation set (e.g., AUC, accuracy, recall, precision, etc.);

Countries

China

Contacts

Public ContactDeng liming

The Second Affiliated Hospital, Hengyang Medical School, University of South China

deng.liming@usc.edu.cn+86 137 2382 5655

Outcome results

None listed

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