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

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

CHARTwatch, a machine learning model, shows promise in reducing patient mortality and improving outcomes in hospital settings, according to new CMAJ study. Study: Clinical evaluation of a machine ...

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, ...

University of Pittsburgh School of Medicine data scientists and UPMC neurotrauma surgeons have created a prognostic model that uses automated brain scans and machine learning to inform outcomes in ...

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 ...

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.

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

Acute cholangitis is a potentially life-threatening bacterial infection that often is associated with gallstones. Symptoms include fever, jaundice, right upper quadrant pain, and elevated liver ...