The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

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 ...

EHR validation in 406,230 “relaxed” and 127,151 “strict” patients showed stable PREVENT discrimination across sexes, ...

A new study suggests that AI can analyze routine coronary artery calcium (CAC) scans to measure pericardial fat and ...

The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...

Isatuximab, Lenalidomide, Bortezomib, and Dexamethasone Induction Therapy for Transplant-Eligible Newly Diagnosed Multiple Myeloma: Final Part 1 Analysis of the GMMG-HD7 Trial Evaluating MRD-CR as an ...

With a NOK 40 million (approx. €3.5 million) grant, Professor Srdjan Djurovic at the University of Oslo aims to identify early blood-based biomarkers that can predict who is at increased risk of ...

Predictive models that combine patient-reported psychosocial measures with clinical data perform well in forecasting flares in patients with inflammatory bowel disease.

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...

Mumbai: City doctors are developing an artificial intelligence (AI)-based tool to predict whether and when a newly diagnosed ...