Empowering Medical Students: Harnessing Artificial Intelligence for Precision Point-of-Care Echocardiography Assessment of Left Ventricular Ejection Fraction.
Ziv DadonAmir OrlevAdi ButnaruDavid RosenmannMichael GliksonShmuel GottliebEvan Avraham AlpertPublished in: International journal of clinical practice (2023)
Medical students' utilization of an AI-based tool with a HUD for LVEF assessment achieved a level of accuracy similar to that of cardiologists. Furthermore, the use of AI by the students achieved moderate to substantial inter-rater reliability with expert echocardiographers' evaluation.
Keyphrases
- artificial intelligence
- medical students
- ejection fraction
- big data
- left ventricular
- aortic stenosis
- machine learning
- deep learning
- heart failure
- acute myocardial infarction
- computed tomography
- hypertrophic cardiomyopathy
- clinical practice
- pulmonary hypertension
- mitral valve
- cardiac resynchronization therapy
- coronary artery disease
- left atrial
- acute coronary syndrome
- aortic valve
- clinical evaluation
- catheter ablation