Artificial Intelligence for Improved Echocardiography

Helse Nord-Trøndelag HF

Status: Completed

Conditions: Heart Diseases

Treatments: Other: AI algorithm for apical foreshortening in echocardiography

Study type: Interventional

Funder types: Other

Identifiers

NCT04580095

TRUST-AI_201

Details and patient eligibility

About

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

Full 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).

Enrollment: 88 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Capacity to consent

Exclusion criteria

• Indication for echocardiographic contrast agents

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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88 participants in 2 patient groups

With AI algorithm

Experimental group

Description:

In the "With AI algorithm" arm, the sonographer will perform the echocardiographic exam using the AI algorithm.

Treatment:

Other: AI algorithm for apical foreshortening in echocardiography

Without AI algorithm

No Intervention group

Description:

In the "Without AI algorithm", the echocardiographic exam will be performed without the use of the AI algorithm.