MedTrace Logo

Proximal Femur Image Database Validation

NCT06351943 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 2932

Last updated 2024-04-08

No results posted yet for this study

Summary

The AO@AI Turin project is a collaborative project with a Turin group and the AO (Arbeitsgemeinschaft für Osteosynthesefragen, or in English, Association for the Study of Internal Fixation) foundation. An Image database (DB) has been built to host AP pelvic radiographs ready for artificial intelligence (AI) development.

The goal of this project is to determine the agreement between the Turin annotation of fracture status and the annotation from an external group of AO expert surgeons for a random subset of the Turin images.

Conditions

  • Proximal Femoral Fracture

Interventions

DIAGNOSTIC_TEST

Fracture classification annotations provided by the Turin group

Fracture classification annotations provided by the Turin group: fracture vs non-fracture, and, if fracture, the Arbeitsgemeinschaft für Osteosynthesefragen (AO, in English, Association for the Study of Internal Fixation)/Orthopedic Trauma Association (OTA) classification.

DIAGNOSTIC_TEST

Fracture classification annotations provided by the AO expert surgeon group

Fracture classification annotations provided by the AO expert surgeon group: fracture vs non-fracture, and, if fracture, the AO/OTA classification.

Sponsors & Collaborators

  • University of Turin, Italy

    collaborator OTHER

  • AO Innovation Translation Center

    lead OTHER

Principal Investigators

  • Alessandro Aprato, MD · University of Turin, Italy

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-05-01
Primary Completion
2024-10-01
Completion
2025-06-30

Countries

  • Switzerland

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06351943 on ClinicalTrials.gov