MedTrace Logo

Application and Evaluation of Vision-LSTM Modeling in Diagnostic Ultrasound Imaging of TI-RADS Category 4b Thyroid Nodules

NCT07496684 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 401

Last updated 2026-03-27

No results posted yet for this study

Summary

The aim of this study was to evaluate the performance of artificial intelligence (AI) technology in the diagnosis of thyroid nodules, specifically in the field of ultrasound image analysis. It focuses on the accuracy and clinical feasibility of the AI system based on the Vision-LSTM model in the diagnosis of TI-RADS category 4b thyroid nodules.

Conditions

Sponsors & Collaborators

  • Ma Zhe

    lead OTHER

Eligibility

Min Age
20 Years
Max Age
78 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-01
Primary Completion
2024-12-30
Completion
2024-12-30

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT07496684 on ClinicalTrials.gov