The article examines how agentic AI can extend care beyond the hospital by autonomously coordinating post-discharge tasks. Through continuous remote monitoring, automated follow-ups, medication...
AI memory refers to artificial intelligence systems that retain and retrieve longitudinal patient information across encounters, enhancing clinical context beyond a single visit. Proponents...
AI agents are increasingly embedded in clinical workflows, but experts warn that without guardrails they can jeopardize patient safety and privacy. The article underscores...
Asan Medical Center has launched an AI-driven knowledge search system that operates entirely on a private, on-premises network, the Seoul-based hospital said. The tool...
Mayo Clinic researchers, collaborating with Stanford Medicine over eight years, unveiled an artificial intelligence framework that can use a blood biopsy to detect tumor...
Healthcare organizations increased cybersecurity investment, yet ransomware and breaches keep rising, threatening patient records and IP. Cyber resilience — the capacity to absorb and...
No-code AI platforms promise to democratize machine learning in healthcare by allowing clinicians and administrators to build models and automate workflows without deep data...
Remote patient monitoring (RPM) promised to keep chronically ill patients at home while devices tracked vitals, reduce hospitalizations and leverage Medicare reimbursement to scale....
Illinois is building a real-time public health intelligence system that leverages connected clinical data, health information exchanges and AI-driven analytics to accelerate outbreak detection,...
IHH Healthcare is embedding AI into clinical and operational workflows as adoption scales across its Asia-Pacific hospitals, prioritising tools that boost operational efficiency and...