Discover the newest research about AI innovations in 🤖 Machine Learning.
A new machine learning model can pinpoint the origin of mysterious cancers from simple blood fragments, shifting the focus of liquid biopsies from detection to direction.
When the dominant electronic health record vendor decides to build its own clinical AI, the entire digital health startup ecosystem faces an existential threat.
An AI model can spot heart failure risk day-by-day using standard electrocardiograms, but its performance drops when crossing oceans.
The administrative war between hospitals and insurers is moving from human negotiators to competing algorithms.
Hospitals are rushing to deploy internal clinical AI assistants, but the motive is as much about defending their market share as it is about saving doctors time.
A new deep learning model attempts to spot hard-to-find HER2-low breast cancers from standard tissue slides, but its modest accuracy reveals just how difficult this diagnostic boundary is to draw.
The race to eliminate clinical keyboard time is moving from experimental pilots to the core of outpatient medicine.
A specialized neural network outperformed both emergency physicians and general-purpose chatbots in detecting life-threatening heart blockages on electrocardiograms.
Anthropic is shifting AI from a passive assistant to an autonomous laboratory director.
Delegating clinical decisions to autonomous AI agents is creating a massive, invisible attack surface for healthcare systems.
