MedTrace Logo

Human-AI Collaboration for Ultrasound Diagnosis of Thyroid Nodules - a Clinical Trial

NCT06306599 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2024-11-25

No results posted yet for this study

Summary

This is an experimental study wherein groups of medical students and physicians of varying degrees of experience in head-and-neck ultrasound were asked to scan the same five patients each with a thyroid nodule.

The study participants did their own ultrasound assessment of the thyroid nodules, as well as using an AI-based ultrasound diagnostics system.

The researchers intended to study two primary outcomes: 1) how varying degrees of experience in ultrasound by the operator might affect the diagnostic performance of the AI-based system, and 2) how the AI-based system influenced the diagnostic performance of the ultrasound operator.

Conditions

  • Thyroid Nodule

Interventions

DIAGNOSTIC_TEST

S-Detect for Thyroid

Deep learning based program on Samsung ultrasound machines designed to do real-time semi-automated analysis of thyroid nodules. The ultrasound operator freezes a transverse image of the patient's thyroid nodule and activates S-Detect. The operator selects the nodule on the screen, and the program automatically draws a region of interest. Then S-Detect gives a dichotomous diagnosis of either "Possibly benign" and "Possibly malignant". In addition, it measures the nodule and characterises it with a lexicon based on EUTIRADS.

Sponsors & Collaborators

  • Rigshospitalet, Denmark

    lead OTHER

Principal Investigators

  • Tobias Todsen, Ph.d · Rigshospitalet, Denmark

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-09-01
Primary Completion
2023-11-04
Completion
2023-11-04

Countries

  • Denmark

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 NCT06306599 on ClinicalTrials.gov