Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

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

Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

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 ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough. In ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

In a remarkable stride towards environmental sustainability, researchers at the Department of Biotechnology and Medical ...