NXP, GE HealthCare Collaborate to Advance Edge AI Solutions for Acute Care

The partnership focuses on two edge AI-based concepts in anesthesiology and neonatal care, which are being showcased at CES 2026.

Semiconductor major NXP Semiconductors and GE HealthCare have announced a collaboration to develop advanced edge artificial intelligence (AI) solutions for acute care environments, including operating rooms and neonatal intensive care units (NICUs).

The partnership focuses on two edge AI-based concepts in anesthesiology and neonatal care, which are being showcased at CES 2026. The initiative combines NXP’s secure edge processing capabilities with GE HealthCare’s expertise in medical technology.

Edge AI enables data processing directly on devices, providing real-time, low-latency insights critical for clinical decision-making. By handling data locally, the technology enhances speed, reliability, and data security.

The first concept utilizes edge AI in anesthesia delivery systems, enabling anesthesiologists to operate equipment using real-time voice commands. This aims to reduce cognitive load, alarm fatigue, and the risk of human error in dynamic operating room settings.

The second concept targets neonatal care through intelligent live monitoring. It can detect whether an infant is crying or resting, identify unwanted objects in the crib, and recognize unsafe positions, such as rolling onto the stomach. All data is processed locally, ensuring images and information remain on-device to meet privacy and security requirements.

Both solutions are built on NXP’s application processors, which feature integrated neural processing units and software powered by its eIQ AI Toolkit. The development adheres to GE HealthCare’s Responsible AI principles, including safety, transparency, privacy, and fairness.

GE HealthCare highlighted that the collaboration complements its cloud-based AI offerings by exploring secure, on-device intelligence for high-acuity settings. NXP noted that the partnership could pave the way for future applications, such as AI-driven risk prediction, automated triage, and personalized treatment recommendations.

The concepts will be demonstrated at CES 2026 at NXP’s pavilion, providing a glimpse into the potential of edge AI to transform acute care workflows.

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