We are training an AI model to detect key cardiac phases — end-diastole (ED) and end-systole (ES) directly from PLAX echocardiographic video sequences.
The model learns to recognise subtle physiological cues such as:
These patterns allow the model to accurately identify:
This enables automated phase measurement, improving consistency and reducing manual workload for clinicians.