MedTrace Logo

Artificial Intelligence vs Endoscopist Identification in EUS Normal Anatomy

NCT06279546 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2024-02-28

No results posted yet for this study

Summary

Endoscopic ultrasound (EUS) visual impression is operator-dependant and can hinder diagnostic accuracy, especially in less experienced endoscopists. The implementation of artificial intelligence can potentially mitigate operator dependency and interpretation variability, helping or improving the overall accuracy.

The investigators therefore aim to compare diagnostic accuracy between artificial intelligence (AI)-based model and the endoscopists when identifying normal anatomical structures in EUS-procedures.

Conditions

  • Gastrointestinal Diseases

Interventions

DIAGNOSTIC_TEST

Detection of structures

Pre-recorded videos, cropped according to the different windows (mediastinal, gastric, duodenal) will be analyzed by the AIWorks-EUS model and endoscopists on different times for recognition of the different normal anatomical structures.

Sponsors & Collaborators

  • The Methodist Hospital Research Institute

    collaborator OTHER

  • Baylor Saint Luke's Medical Center

    collaborator UNKNOWN

  • Beth Israel Deaconess Medical Center

    collaborator OTHER

  • Barra Life Medical Center, Brazil

    collaborator UNKNOWN

  • Hospital Clinico Universitario de Santiago

    collaborator OTHER

  • Universitair Ziekenhuis Brussel

    collaborator OTHER

  • Hospital Civil de Morelia, Michoacan

    collaborator UNKNOWN

  • ELIAS Emergency University Hospital

    collaborator OTHER

  • Larkin Community Hospital

    collaborator OTHER

  • Carol Davila University of Medicine and Pharmacy

    collaborator OTHER

  • mdconsgroup, Guayaquil, Ecuador

    collaborator UNKNOWN

  • Instituto Ecuatoriano de Enfermedades Digestivas

    lead OTHER

Principal Investigators

  • Carlos Robles-Medranda, MD FASGE · Instituto Ecuatoriano de Enfermedades Digestivas (IECED)

Eligibility

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

Timeline & Regulatory

Start
2023-05-01
Primary Completion
2023-10-01
Completion
2024-01-26

Countries

  • Ecuador

Study Locations

More Related Trials

Entities

Companies

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 NCT06279546 on ClinicalTrials.gov