
AutoML predicts hospital infections in the ICU
Off-the-shelf automated machine learning can flag deadly hospital-acquired infections, but only if hospitals feed them the right clinical data.
Discover the newest research about AI innovations in 🤖 Machine Learning.

Off-the-shelf automated machine learning can flag deadly hospital-acquired infections, but only if hospitals feed them the right clinical data.

A new machine learning model stops doctors from misdiagnosing cardiac amyloidosis as more common heart conditions.

By translating messy medical jargon into mathematical vectors, a new tool could finally fix how language models understand patient charts.

A six-year head start on breast cancer sounds like a clinical triumph, but it comes with a massive catch.

A new computational pathology model exposes the limits of human sight in oncology, diagnosing complex brain tumors in minutes rather than weeks.

A new study reveals that basic physiological math outpaces complex large language models at predicting patient crash times.

A new active learning model proves that medical AI does not need massive, expensive datasets to outperform human-labeled benchmarks.

The federal push to let autonomous AI diagnose patients and prescribe drugs is setting up a dangerous collision between political speed and medical safety.

A new machine learning model uses dual ultrasound measurements to identify severe liver damage, offering a way to bypass painful and risky biopsies.

Standard genetic tests miss the complex networks of DNA variants that cause multiple diseases in the same family, but a new topological AI approach could change how we find them.