AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

Wearable technology has seamlessly integrated into our everyday lives, offering convenience and critical health insights.

Artificial Intelligence (AI) continues to make considerable strides in the healthcare sector, with one of its most remarkable ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analysing mammograms. The findings were published in Heart, 1 ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

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The first artificial intelligence (AI) stethoscope has gone beyond listening to a heartbeat. Researchers at Imperial College London and Imperial College Healthcare NHS Trust discovered that an AI ...

Nvidia and Palantir Technologies are collectively worth $4.6 trillion today. Meta Platforms could top that figure within five years. Meta Platforms is using artificial intelligence to increase ...

New York, NY [August 28, 2025]—When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means. Now, researchers at the Icahn School ...

This study aimed to develop a machine learning‐based model to predict the risk of major adverse cardiac events (MACE) in patients presenting to the emergency department (ED) with chest pain, for whom ...

GitHub Copilot Pro now supports GPT-5 in VS Code. A 30-day trial lets you test premium models for free. Add your OpenAI key to bypass Copilot restriction. First, open VS Code. Click the little Copilot ...

It's estimated that 6.5 million Americans over the age of 20 have heart failure, and the condition is a leading cause of hospitalizations, driving a significant portion of healthcare costs. Hospital ...