Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

Juntendo University researchers have trained a machine learning algorithm to use clinical information and physical function ...

A research team from Juntendo University in Japan wanted to find a better way to predict survival for older people with heart failure. The project was led by Professor Tetsuya Takahashi, Assistant ...

This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...