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.
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.
AI Diagnoses Brain Tumors in Twelve Minutes
A new computational pathology model exposes the limits of human sight in oncology, diagnosing complex brain tumors in minutes rather than weeks.
Simple Math Beats LLMs in ICU Shock Prediction
A new study reveals that basic physiological math outpaces complex large language models at predicting patient crash times.
AI diagnoses kidney disease with fewer labeled scans
A new active learning model proves that medical AI does not need massive, expensive datasets to outperform human-labeled benchmarks.