Artificial Intelligence for Improved Echocardiography
- Conditions
- Heart Diseases
- Interventions
- Other: AI algorithm for apical foreshortening in echocardiography
- 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).
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 88
- Capacity to consent
- Indication for echocardiographic contrast agents
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description With AI algorithm AI algorithm for apical foreshortening in echocardiography In the "With AI algorithm" arm, the sonographer will perform the echocardiographic exam using the AI algorithm.
- 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.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
St. Olav University Hospital
🇳🇴Trondheim, Norway