NXP Semiconductors said on Jan. 9 it will cooperate with GE Healthcare in edge AI at CES 2026. The companies on the day unveiled AI concepts for anesthesia and neonatal care. The effort combines NXP's edge processing technology with GE Healthcare's medical technology know-how.

They showcased a case of introducing edge AI for anesthesia administration in operating rooms. Anesthesiologists can interact with anesthesia equipment through real-time voice commands. The technology is intended to help doctors focus on patients. The goal is to reduce cognitive load, alarm fatigue and the risk of human error.

They are also cooperating on intelligent monitoring technology in neonatal intensive care units (NICU). The technology detects an infant's crying and calm state. It identifies unwanted objects in the bed and recognises whether the baby has rolled into a prone position. Agentic AI records events and provides alerts to medical staff when needed.

All image processing is performed locally using models built with the NXP eIQ AI Toolkit. Images are not transmitted outside the device, meeting strict security and privacy standards, the company explained. Both technologies are based on NXP application processors that include NPUs.

Jeff Caron, chief digital and technology officer for GE Healthcare's patient care solutions business, said, "GE Healthcare is developing AI that puts clinicians at the center." He said it helps support clinical judgment and allows more time to be devoted to patient care.

Charles Dachs, senior vice president and general manager of NXP's secure connected edge business, said, "This collaboration combines the clinical trust GE Healthcare has built and decades of medical technology innovation with NXP's eIQ AI enablement capabilities and deep experience in secure, high-performance edge computing." He said it provides clinicians and patients with safe, reliable and practical edge AI solutions.

He added, "The two companies aim to deliver more personalized care, from continuous monitoring in NICUs and hands-free interaction with anesthesia equipment to exploratory research concepts such as AI-based risk prediction, automated triage and personalized treatment recommendations."