NCT04580095

Artificial Intelligence for Improved Echocardiography

Technology Revisiting Ultrasound Solutions of Tomorrow - Artificial Intelligence for Improved Echocardiography

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 88 (actual)
• Sponsor: Helse Nord-Trøndelag HF · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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).

Conditions

• Heart Diseases

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2020-09-29
• Primary completion: 2021-06-30
• Completion: 2021-06-30
• First posted: 2020-10-08
• Last updated: 2022-04-14

Locations

1 site across 1 country: Norway