Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
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Physical function metrics improve mortality prediction in elderly heart failure patients
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 ...
February is national American Heart Month and the American Heart Association is spotlighting cardiovascular disease and the need for more lifesavers. This year, the association’s message is anyone can ...
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 ...
National AI usage among businesses is growing, with current rates at 18% and projected to hit 22% in six months. Larger firms show higher AI adoption; those with 250+ employees report a 27% usage rate ...
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