Press release
NXP and GE HealthCare Accelerate AI Innovation in Acute Care
Collaboration focuses on the development of two advanced edge AI concepts in anesthesiology and neonatal care designed to help improve patient care. LAS VEGAS
About this update from Nxp Semiconductors N.v.
[{"type":"text","content":"Collaboration focuses on the development of two advanced edge AI concepts in anesthesiology and neonatal care designed to help improve patient care.\nLAS VEGAS and CHICAGO, Jan. 06, 2026 (GLOBE NEWSWIRE) -- NXP Semiconductors N.V. (NASDAQ: NXPI) and GE HealthCare (NASDAQ: GEHC) today announced a collaboration to pioneer new advancements in edge AI innovation leveraging NXP’s long history in secure, high-performance edge processing and GE HealthCare’s deep experience in medical technology innovation. Beginning with new anesthesia and neonatal concepts showcased at CES 2026, the collaboration highlights how the intelligence, low latency, resilience, and security offered by edge AI can transform certain workflows and empower clinicians to deliver improved patient care with simple, actionable insights. In acute care environments like the operating room and neonatal intensive care unit (NICU), care teams require solutions that provide actionable intelligence delivered with low latency. On-device edge AI processes data to deliver immediate, consistent performance and help enable critical insights to be available without delay. Embedding edge AI into point-of-care devices may provide clinicians fast, reliable, and secure access to critical information. GE HealthCare and NXP have formulated two new concepts1 combining NXP’s edge AI expertise and portfolio with GE HealthCare’s experience in medical technology innovations. The first concept brings edge AI capabilities to anesthesia delivery in the operating room, intending to provide anesthesiologists with a reliable, hands-free way to interact with anesthesia equipment using real-time voice commands. This project is designed to help anesthesiologists attend to the patient in a dynamic and crowded operating room, while reducing excessive cognitive load, alarm fatigue, and risk of human error. The second concept is designed to support neonatal care through intelligent, live monitoring. This technology aims to detect whether an infant is crying or at rest, identify unwanted objects in the bed, or recognize if the baby has rolled onto their stomach — designed to help care teams and enable them to keep babies comfortable. This concept uses agentic AI on the edge to log the event and alert clinicians, if appropriate. All image processing occurs locally using models leveraging the NXP eIQ AI To...