MedTrace Logo

Deep Learning of Anterior Talofibular Ligament: Comparison of Different Models

NCT04955067 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2021-07-08

No results posted yet for this study

Summary

The purpose of this study is to study the injury of the anterior talofibular ligament by deep learning method and compare a variety of different deep learning models to establish a deep learning method that can accurately identify and grade the injury of anterior talofibular ligament, and obtain a model with better recognition and grading effect.

Conditions

  • Lateral Ligament, Ankle

Interventions

DIAGNOSTIC_TEST

Diagnositic test

The results of hip arthroscopy were taken as the gold standard, and MRI examination was taken as the research object

Sponsors & Collaborators

  • Peking University Third Hospital

    lead OTHER

Principal Investigators

  • huishu Yuan, MD · Peking University Third Hospital

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2021-12-30
Completion
2022-03-30

Countries

  • China

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 NCT04955067 on ClinicalTrials.gov