Beyond Standard Echocardiography: Strain Imaging as the AI-Powered Key to Comprehensive Cardiac Function Evaluation

Strain imaging as a tool to engage in unravelling the secrets of cardiac motion in health and disease has opened a new horizon in the field of clinical cardiology beyond the standard algorithm for quantification of left ventricular function and dysfunction. As such, the wider application of strain can probably be compared with the ubiquitous application of the incretin molecule, glucagon like peptide 1 receptor agonist (GLP 1RA) first applied to manage type 2 diabetes, that is now indicated in many different conditions like obesity, heart failure, and Alzheimer’s disease! This commentary would focus on the role of automated strain imaging in heart failure, aortic stenosis, cardiac amyloidosis, atrial fibrillation, left atrial, and right ventricular strain, on a 2-dimensional domain of spacetime navigated, to some extent, by AI. This commentary thus argues that automated strain imaging is becoming an essential tool for comprehensive cardiac assessment across various conditions.