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 ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

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 ...

Dietitians are not just end-users of AI tools. They can be cocreators, leaders, and subject matter experts on AI projects. In ...

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.