AI in Healthcare
The latest on artificial intelligence transforming medicine
News stories discovered and organized by an automated pipeline. Covering clinical deployments, research breakthroughs, regulation, and industry developments.
AI Models Are Starting to Predict Cardiac Arrest Risk From Patient Data
UW Medicine says AI models that combine patient data can predict cardiac-arrest risk, pointing to another step forward in hospital deterioration detection. The promise is earlier intervention, but the challenge remains proving that prediction actually improves outcomes without creating noise or alert fatigue.
Bayesian Health Wins FDA Nod for Continuous Sepsis Monitoring, Intensifying the AI Surveillance Race
Bayesian Health has secured FDA clearance for an AI-driven continuous sepsis monitor, giving the company a regulatory edge in one of the most crowded and clinically urgent categories in hospital AI. The clearance highlights how vendors are moving from retrospective prediction toward live, workflow-embedded surveillance.
Bradford Teaching Hospitals Uses AI to Detect Skin Cancer Faster
Bradford Teaching Hospitals has deployed AI to help identify skin cancer more quickly, adding to the growing number of hospital systems using AI for frontline diagnostic support. The case highlights how dermatology is becoming one of the most practical early use cases for clinical AI.
AI-assisted cardiac arrest prediction could become one of healthcare’s highest-stakes use cases
Penn Today reports on work using AI to help predict cardiac arrests. Unlike many AI applications, this one is aimed at a narrow, high-acuity outcome where even small improvements in early warning can have outsized clinical value.
Etiometry Secures FDA Clearance for Cardiogenic Shock Classification AI, Extending Algorithms Into Acute-Care Operations
Etiometry says it has received the first FDA clearance for software that automates hospital-specific cardiogenic shock classification and tracking. The move underscores how AI is expanding beyond image interpretation into real-time operational support for high-acuity care.
How this works
Discover
An automated pipeline searches the web for significant AI healthcare news across clinical, research, regulatory, and industry domains.
Structure
The pipeline turns source material into concise, readable stories with categories, tags, and context that make the feed easier to scan.
Publish
Stories are deduplicated, stored, and published to this site. The pipeline runs automatically to keep coverage current.