NXP Semiconductors has entered a strategic collaboration with GE HealthCare to co-develop edge AI solutions tailored for acute care environments. Leveraging NXP’s secure, high-performance edge processors and integrated neural processing units, the partnership will unveil two proof-of-concept devices at CES 2026. The initiative underscores both companies’ commitment to delivering intelligent, low-latency tools that empower clinicians with real-time insights while maintaining stringent security and privacy standards. Development is guided by GE HealthCare’s Responsible AI principles, ensuring transparency, fairness and data protection throughout the AI lifecycle.

The first concept focuses on hands-free operation of anesthesia delivery equipment in operating rooms. By embedding NXP’s neural processing units within anesthesia workstations, the system processes clinician voice commands locally, eliminating network latency and reducing alarm fatigue. Early tests demonstrate sub-100 millisecond response times for critical commands such as dosage adjustments and device status queries. The solution aims to help anesthesiologists maintain situational awareness, minimize human error and streamline workflows in high-pressure surgical settings.

The second concept introduces an on-device AI monitoring platform for neonatal intensive care units. Utilizing NXP’s eIQ AI Toolkit, the device analyzes live video feeds to detect infant distress signals—such as crying, unsafe sleeping positions or the presence of foreign objects in the crib—without transmitting any images off-device. In pilot simulations, the AI achieved over 95% accuracy in identifying infants rolling onto their stomachs, triggering instant alerts to nursing stations. This continuous, privacy-centric monitoring aims to enhance infant safety and reduce clinician workload in the NICU.

At CES 2026, NXP also unveiled its S32N7 series, a 5-nanometer super-integration processor designed to centralize vehicle core functions—propulsion, dynamics, body, gateway and safety—into a single compute hub. By consolidating dozens of electronic control units, automakers can lower total cost of ownership by up to 20%, thanks to reduced wiring, hardware modules and development complexity. Bosch is the first to integrate the S32N7 into its vehicle platform, with pre-validated reference designs and safety frameworks that accelerate time-to-market for software-defined vehicle applications such as predictive maintenance and virtual sensor deployment.