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Artificial Intelligence for Improved Echocardiography

NCT04580095 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 88

Last updated 2022-04-14

No results posted yet for this study

Summary

The purpose of this study is to assess the effect of artificial intelligence algorithms on image quality in echocardiography.

Conditions

  • Heart Diseases

Interventions

OTHER

AI algorithm for apical foreshortening in echocardiography

The algorithm is based on artificial intelligence, giving the sonographer performing the echocardiographic exam real-time feedback on left ventricular apical foreshortening.The algorithm is developed using deep learning techniques by technologists at the Department of Circulation and Medical Imaging, NTNU.

Sponsors & Collaborators

  • St. Olavs Hospital

    collaborator OTHER

  • Helse Nord-Trøndelag HF

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-09-29
Primary Completion
2021-06-30
Completion
2021-06-30

Countries

  • Norway

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 NCT04580095 on ClinicalTrials.gov