We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

Few primary care practices are designed for the timely detection of Alzheimer's disease and related dementias. The limited ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

AI’s Emerging Role in Healthcare Artificial intelligence is significantly reshaping healthcare as more advanced machine learning algorithms and foundation models become available. It’s impacting ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...

The aim is to find new uses of real-world data in AI development, and to help health systems move from fragmented, compliance ...

Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.

People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to ...

Abstract: The Internet of Medical Things (IoMT), a specialized segment of the Internet of Things (IoT), is revolutionizing healthcare by enabling real-time data collection, transmission, and ...