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

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

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 ...

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

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 ...

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.

Modern cancer detection often depends on spotting tiny abnormalities in scans, something even trained specialists can miss.

The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of survival predictions, thus, transforming patient outcomes in significant ...