Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance.
Christina L LuongMohammad H JafariDelaram BehnamiYaksh R ShahLynn StraatmanNathan Van WoudenbergLeah ChristoffNancy GwadryNathaniel M HawkinsEric C SayreDarwin YeungMichael TsangKen GinJohn JueParvathy NairPurang AbolmaesumiTeresa TsangPublished in: Echo research and practice (2024)
Our results suggest that clinician-driven cardiac POCUS produces ML model LVEF estimates that correlate well with expert interpretation and echo reported LVEF.
Keyphrases
- ejection fraction
- aortic stenosis
- left ventricular
- machine learning
- hypertrophic cardiomyopathy
- magnetic resonance
- magnetic resonance imaging
- acute myocardial infarction
- heart failure
- cardiac resynchronization therapy
- mitral valve
- transcatheter aortic valve replacement
- artificial intelligence
- left atrial
- clinical practice
- big data
- diffusion weighted imaging
- coronary artery disease
- diffusion weighted
- contrast enhanced ultrasound
- acute coronary syndrome