When a Patch Becomes a Problem: Hidden Risks in ‘Smart’ Medical Devices
Blindly deploying vendor patches can sideline critical devices and jeopardize patient safety.
Blindly deploying vendor patches can sideline critical devices and jeopardize patient safety.
The software is designed to assist clinicians by identifying key anatomical structures in real time during ultrasound-guided regional anesthesia.
The solution uses predictive analytics and AI-powered workflows to help hospitals identify high-risk patients, improve care transitions, and reduce avoidable readmissions that can lead to CMS penalties.
Blindly deploying vendor patches can sideline critical devices and jeopardize patient safety.
New modeling shows long-term financial consequences for practices without strong cybersecurity and HIPAA safeguards.
Read MoreCompare leading CMMS options for HTM teams, with insights on key features, implementation time, training formats, security features, and pricing.
Read MoreThe software is designed to enhance image quality for AI-powered portable magnetic resonance brain imaging.
Read MoreThe decision-support tool assists in the evaluation of previously acquired lumbar spine MRIs.
Read MoreWhile Zero Trust frameworks with AI-driven threat detection are gaining traction among federal agencies, they also offer valuable lessons for HTM.
Read MoreThe 2025 State of Industrial IoT Device Lifecycle Management highlights top challenges OEMs must overcome to succeed in a software-first world.
Read MoreThe software, powered by artificial intelligence and deep learning, assesses angiography-derived coronary physiology in patients with ischemic coronary artery disease.