A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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.

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

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, ...

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

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 ...

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

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