Although the AI-supported stethoscope shows promise, both studies highlight further research across more diverse clinical environments and populations is necessary. Additionally, while the AI ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Cardiovascular diseases remain the leading global cause of mortality, claiming nearly 18 million lives each year.

Haupt is a health and wellness editor at TIME. Haupt is a health and wellness editor at TIME. More than 99% of people who suffer a heart attack, stroke, or heart failure have at least one risk factor ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

“I’ll worry about my heart health when I’m older.” That may be too late, doctors warn. While the average age for being diagnosed with heart disease in the United States is typically in the mid-60s for ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...

Having trouble falling asleep? Hang on before reaching for the melatonin. A new study says chronic use of the sleep aid may lead to heart failure — but experts say you shouldn’t panic just yet. While ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: This Study will explore how the IoT and machine learning predict heart disease risks through real-time wearable device and sensor data. The Cleveland and Hungarian datasets have relevant ...