Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Researchers focused on three diet models: the standard Mediterranean diet (MED), the MIND diet designed for brain health, and ...

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes and explore associated factors. Design A multicentre cross-sectional survey ...

Background Patients with single-ventricle physiology are often palliated with the Fontan operation, which may involve the ...

From GPT to Claude to Gemini, model names change fast, but use cases matter more. Here's how I choose the best model for the task at hand.

A team of researchers from organizations such as the Institute of Science Tokyo said Tuesday it has developed an artificial intelligence model that can detect a high risk of diabetes using only ...

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial ...

One thing about South Asian populations is that we do have a very different presentation of diabetes, partly due to our genetics, partly due to migration pressures”, says Rohini Mathur, Professor and ...

AI startup Anthropic said Wednesday it would invest $50 billion in building data centers in the US, the latest multi-billion-dollar outlay in the industry as companies race to expand their artificial ...