Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, according to ...

As new technologies emerge and extend the capabilities of physicians, researchers and scientists, the landscape of healthcare is also bound to change. One such example is machine learning, in which a ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

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; ...

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

Doctors have long known that sleep is essential for good health, but for millions of people, sleep is not as simple as it ...

"Both studies emphasize our unique approach to using machine learning and big data in academic medicine," said Jason Moore, Ph.D., professor and chair of the Department of Computational Biomedicine at ...

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 ...

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 ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...