Artificial intelligence is rapidly transforming clinical medicine, with AI-powered tools increasingly being used for ...

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

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

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

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

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

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 ...

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 ...

From wearables for health monitoring and self-care apps, to machine learning analysis of medical images, the potential of digital technologies to revolutionise healthcare has commanded many headlines.

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...