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Computer Aided Tool for Diagnosis of Neck Masses in Children

NCT05187923 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1500

Last updated 2022-01-27

No results posted yet for this study

Summary

The aim of this study was to evaluate the diagnostic efficacy of computer aided diagnostic tool for neck masses using machine learning and deep learning techniques on clinical information and radiological images in children.

Conditions

  • Neck Mass
  • Thyroglossal Duct Cysts
  • Branchial Cleft Anomalies
  • Dermoid and Epidermoid Cysts
  • Infantile Hemangiomas
  • Teratomas

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence Algorithm

Different machine learning and deep learning computer aided strategies for model construction and validation.

Sponsors & Collaborators

  • West China Hospital

    lead OTHER

Eligibility

Min Age
0 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2024-12-31
Completion
2024-12-31

Countries

  • China

Study Locations

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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 NCT05187923 on ClinicalTrials.gov