According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

From chatbots that will reschedule your appointment to a system that provides a monitor during labor, health care systems in Northwest Arkansas are finding ways to use artificial intelligence.

Models built on machine learning in health care can be victims of their own success, according to researchers at the Icahn School of Medicine and the University of Michigan. Their study assessed the ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Precision medicine has revolutionized the landscape of neurological care, shifting from “one-size-fits-all” approaches to ...

A multi-institutional research team has demonstrated how artificial intelligence and machine learning can optimize therapy selection and dosing for septic shock, a life-threatening complication that ...

The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...

AI and machine learning have advanced to a stage where their role in medical diagnosis is no longer theoretical but a ...

As a patient recovers from a wound, a doctor may watch over them, monitoring the healing process and prescribing treatments based on the body’s responses. But a wide variety of factors including diet, ...