Artificial Intelligence for Improved Echocardiography

Not Applicable

Completed

• Conditions: Heart Diseases

• Registration Number: NCT04580095
• Lead Sponsor: Helse Nord-Trøndelag HF

Brief Summary

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

Detailed Description

The study population will be recruited from appointed patients at the Clinic of Cardiology, St. Olavs Hospital. After being informed about the study, all patients giving informed consent and meeting the eligibility requirements will undergo their standard clinical echocardiographic exam performed by a sonographer at the clinic. Two additional examinations will then be performed by a different sonographer and an expert cardiologist, respectively.

In one of the study arms the sonographer randomized to perform the second exam will use the AI algorithm (intervention).

Study Timeline

• Study First Submitted: 2020-09-23
• Study Start: 2020-09-29
• Study First Submitted QC: 2020-10-02
• Study First Posted: 2020-10-08
• Primary Completion: 2021-06-30
• Study Completion: 2021-06-30
• Status Verified: 2022-04
• Last Update Submitted: 2022-04-07
• Last Update Posted: 2022-04-14

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 88

Inclusion Criteria

• Capacity to consent

Exclusion Criteria

• Indication for echocardiographic contrast agents

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Left ventricular apical foreshortening	0 days	Apical foreshortening will be evaluated in a blinded manner by echocardiography experts post hoc. The two study arms will be compared.

Trial Locations

Locations (1)

St. Olav University Hospital; 🇳🇴 Trondheim, Norway