Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

AI and machine-learning programs have entered medicine in many ways, including, but not limited to, helping to identify outbreaks of infectious diseases that may have an impact on public health; ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

The field of retinal imaging has long provided a unique, non-invasive window to systemic vascular health, with microvascular ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

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

Boston University’s Center for Brain Research, which received a $3.2 million National Institutes of Health grant from the National Institute on Deafness and Other Communication Disorders, is ...

The Division of Infectious Diseases celebrates a paper published documenting antibiotic stewardship efforts here at UAB. The publication by first-author Rachael Lee, MD, with senior author Pete Pappas ...

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 ...