
Smartwatches fail to measure blood glucose levels
A rigorous new evaluation reveals that wrist-worn wearables capture no real blood glucose data, exposing a major flaw in non-invasive tracking claims.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A rigorous new evaluation reveals that wrist-worn wearables capture no real blood glucose data, exposing a major flaw in non-invasive tracking claims.

Deploying diagnostic AI to vulnerable populations is a high-stakes test of whether technology can solve the physician shortage without worsening health disparities.

Pairing untrained staff with artificial intelligence could solve the specialist shortage in operating rooms.

A young startup is spending hundreds of millions to prove that artificial intelligence can salvage stalled drug pipelines.

A new foundation model proves that simple heart and breathing signals recorded during sleep can predict complex brain and heart diseases.

An algorithm can spot patients at risk of suicide within 30 days using only basic emergency room intake data.

A new machine learning model proves that dental records might be just as important as cholesterol levels for predicting heart attacks.

By blending cardiovascular physics into machine learning, researchers have cut the data needed to track continuous blood pressure in half.

Healthcare systems are deploying artificial intelligence in the scan room while ignoring the administrative paperwork that is actually crushing their staff.

A new deep learning pipeline strips private patient details from medical scans without erasing critical clinical notes.