Use of artificial intelligence-guided echocardiography to detect cardiac dysfunction and heart valve disease in rural and remote areas: Rationale and design of the AGILE-echo trial.
Cheng Hwee SohLeah WrightAngus BaumannBastian SeidelChristopher YuMark NolanTony MyliusThomas H Marwicknull nullPublished in: American heart journal (2024)
This randomized-controlled trial of AI-TTE will provide proof-of-concept for the role of AI-TTE in identifying pre-symptomatic HF or HVD when access to TTE is limited. Additionally, this could promote the usage of AI-TTE in rural or remote areas, ultimately improving health and quality of life of community dwelling adults with risks, signs or symptoms of cardiac dysfunction.
Keyphrases
- artificial intelligence
- community dwelling
- left ventricular
- randomized controlled trial
- machine learning
- big data
- deep learning
- study protocol
- south africa
- oxidative stress
- healthcare
- public health
- heart failure
- mitral valve
- human health
- magnetic resonance
- mental health
- aortic stenosis
- clinical trial
- computed tomography
- aortic valve
- phase ii
- risk assessment
- coronary artery disease
- physical activity
- acute heart failure
- diffusion weighted imaging
- ejection fraction