Imaging · Products

USM Series Medical Box PC

The USM Series from Advantech represents medical-grade box computers engineered specifically for surgical robotics and AI-powered medical applications. These platforms provide the computational core for surgical navigation systems, enabling real-time image processing and robotic control in operating room environments.

Product Overview

Designed as embedded computing solutions for medical equipment builders, the USM Series addresses the demanding requirements of surgical robot systems. Unlike consumer-grade computers, these platforms undergo rigorous testing for electromagnetic compatibility, thermal stability, and long-term reliability essential in medical environments.

The series includes multiple configurations to match application requirements. The USM-300 supports 13th Generation Intel Core processors with NVIDIA RTX graphics capability, while the USM-500 and USM-501 models offer 8th and 9th generation platforms respectively for customers with established software stacks.

Key Features

NVIDIA Platform Integration: The USM Series achieved certification as NVIDIA-ready medical computing platforms, supporting RTX A4000/A6000 graphics cards and Clara Holoscan MGX framework. This enables surgical robot manufacturers to deploy AI inference directly at the point of care without cloud connectivity dependencies.

Medical Safety Compliance: All models meet IEC 60601-1 medical electrical safety requirements and IEC 60601-1-2 electromagnetic compatibility standards. ESD protection reaches IEC Level 4 (contact 8kV, air 15kV) for reliability in environments with frequent equipment handling.

Fanless Thermal Design: Passive cooling eliminates acoustic noise and reduces potential contamination sources in sterile surgical environments. The sealed enclosure also simplifies disinfection procedures between surgical cases.

Dual BIOS Architecture: Critical system firmware redundancy ensures boot reliability even if primary BIOS corruption occurs, addressing concerns in applications where computer failure could interrupt ongoing surgical procedures.

Technical Specifications

For surgical navigation and robotic control, Advantech’s USM Series provides NVIDIA RTX GPU support, IEC 60601-1 certification, and fanless thermal design in three Intel Core configurations.

ParameterUSM-300USM-500USM-501
Processor13th Gen Intel Core i7/i5/i38th Gen Intel Core9th Gen Intel Core
ChipsetIntel R680EIntel Q370Intel Q370
GPU SupportNVIDIA RTX A6000NVIDIA RTX A4000NVIDIA RTX A4000
MemoryUp to 64GB DDR5Up to 64GB DDR4Up to 64GB DDR4
StorageM.2 NVMe + 2.5" SATAM.2 NVMe + 2.5" SATAM.2 NVMe + 2.5" SATA
NetworkDual Gigabit EthernetDual Gigabit EthernetDual Gigabit Ethernet
Operating SystemsWindows 10/11, Linux, NVIDIA AIWindows 10, LinuxWindows 10, Linux
Medical CertificationIEC 60601-1, 60601-1-2IEC 60601-1, 60601-1-2IEC 60601-1, 60601-1-2

Clinical Applications

Surgical robot manufacturers integrate USM platforms as the central computing unit handling multiple concurrent tasks:

Real-Time Navigation: Processing CT/MRI image fusion and displaying augmented overlays during surgery requires sustained GPU performance. The USM handles large multi-modal image datasets while maintaining sub-millisecond latency for instrument tracking.

AI-Assisted Surgery: Deep learning algorithms for tissue identification, vessel detection, and surgical planning run locally on the embedded NVIDIA GPU. This eliminates network latency and data privacy concerns associated with cloud-based AI processing.

Robotic Control: Communication with robotic arm controllers, safety monitoring systems, and surgical instruments flows through the USM’s multiple I/O channels. Dual Gigabit Ethernet ports enable segregated networks for robot control and hospital information systems.

Video Management: Simultaneous capture, encoding, and streaming of multiple surgical video feeds for documentation and remote observation. HEVC encoding enables efficient storage of 4K surgical recordings.

Regulatory Status

RegionCertificationStandard
InternationalIEC 60601-1Medical Electrical Safety
InternationalIEC 60601-1-2EMC for Medical Devices
USAFDA Establishment RegistrationMedical Device Manufacturing
EUCE MarkingMedical Device Directive

Note: As a component platform, final regulatory clearance for complete surgical robot systems incorporating USM computers depends on the finished medical device manufacturer’s submissions.

Deployment Considerations

Environmental Requirements: Operating temperature range spans 0°C to 45°C with 10% to 90% non-condensing humidity. Units mount within equipment enclosures or medical carts with appropriate ventilation clearances.

Software Compatibility: Pre-validated with NVIDIA Clara Holoscan SDK, TensorRT, and common medical imaging frameworks. Windows 10/11 IoT Enterprise LTSC editions available for extended support lifecycles matching medical device timelines.

Service Support: Advantech provides 5-year product availability commitment with extended lifecycle options for medical applications. Global repair network offers advance unit replacement and depot repair services.

Frequently Asked Questions

Is the USM Series a surgical robot?

No. The USM Series provides the computing platform that powers surgical robot systems. Medical device manufacturers integrate USM computers into their complete surgical robots, which then undergo regulatory approval as finished medical devices.

What surgical robot types use USM platforms?

Based on published case studies, USM platforms have been deployed in neurosurgery robots, orthopedic surgical navigation systems, and image-guided therapy equipment. Specific product names remain confidential under OEM agreements.

How does USM compare to consumer PCs for surgical use?

Consumer computers lack medical safety certifications (IEC 60601-1), have shorter product lifecycles (typically 1-2 years vs 5+ years for USM), and don’t meet electromagnetic compatibility requirements for operating room environments. Using consumer hardware in medical devices creates regulatory compliance challenges.

Last modified: January 15, 2026

Sources

Publicly available references used for the data on this page. See data methodology for verification standards.