A new imaging technology called fast-RSOM lets researchers see the smallest blood vessels in the body without invasive ...

Researchers at Keele University have said that more targeted use of testing for a common molecule could help to improve ...

With cardiovascular disease continuing to be the leading cause of death worldwide, more accurate AI-driven risk predictions ...

Eko Health, a leader in AI-powered cardiac and pulmonary disease detection, today announced the publication of the TRICORDER (Triple Cardiovascular Disease Detection Using an Artificial Intelligence ...

“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 ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

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 ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...