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.
Hospitals are seizing control of medical AI
A new partnership structure is shifting power from Big Tech back to clinical institutions.
AI navigates brain surgery in first human trial
A new clinical trial shows that real-time computer vision can guide neurosurgeons through high-stakes brain procedures, but early software bugs prove the clinic is still a messy testing ground.
FDA Clears First Over-the-Counter Kids’ Glucose Monitor
Putting medical-grade metabolic tracking directly into the hands of parents bypasses the clinic but shifts a heavy burden of clinical interpretation to the living room.
AI separates rare heart disease from common mimics
A new machine learning model stops doctors from misdiagnosing cardiac amyloidosis as more common heart conditions.
ClinVec maps clinical codes to improve medical AI
By translating messy medical jargon into mathematical vectors, a new tool could finally fix how language models understand patient charts.
Who owns the clinical AI model?
A new partnership template suggests hospitals no longer have to surrender their proprietary data to tech giants to build advanced medical AI.
AI matches pathologists in scoring ulcerative colitis
A new foundation model matches or beats human pathologists at grading ulcerative colitis biopsies, potentially solving the clinical trial replication crisis.
Predicting breast cancer six years before diagnosis
A six-year head start on breast cancer sounds like a clinical triumph, but it comes with a massive catch.
Beyond Injection Detection: A Positive-Security Prompt Firewall that Closes the Scope and PHI Gap SOTA Classifiers Miss in Healthcare
Standard security tools fail to stop medical AI from leaking patient data because the most dangerous clinical hacks look like completely normal requests.