Artificial Intelligence is becoming an increasingly important component of modern healthcare, enabling advancements in diagnostic imaging, patient monitoring, clinical decision support, and robotic-assisted procedures. As medical AI applications continue to expand, healthcare equipment manufacturers are increasingly shifting AI inference from cloud platforms to edge devices, enabling faster response times, lower latency, enhanced data privacy, and greater system reliability.
Medical systems such as ultrasound equipment, digital X-ray, endoscopy, pathology imaging, and point-of-care diagnostic devices require computing platforms capable of simultaneously processing high-resolution images, executing AI inference, and driving multiple displays. At the same time, long product lifecycle support, system stability, power efficiency, and simplified maintenance have become critical design considerations for medical OEMs and system integrators.
Computer-on-Modules Enable Faster Development of Medical AI Systems
As medical equipment becomes increasingly sophisticated, developers must balance performance requirements, product longevity, and development efficiency. For applications requiring design flexibility and processor scalability, COM Express® modules provide a standardized computing platform that separates processor technology from application-specific carrier board design, helping simplify development while streamlining future platform upgrades.
For medical AI applications, developers require a computer-on-module (COM) capable of delivering heterogeneous computing performance, high-speed memory bandwidth, flexible PCIe expansion for AI accelerators and frame grabbers, multiple display interfaces for clinical visualization, and reliable long-term operation. Remote management capabilities are also becoming increasingly valuable, enabling hospitals and equipment vendors to perform system monitoring, maintenance, BIOS updates, and diagnostics remotely, improving service efficiency while helping minimize downtime for mission-critical medical equipment.
PCOM-B65C Delivers AI Performance and Reliability for Intelligent Healthcare
Designed to support AI-enabled edge computing and advanced embedded applications, Portwell PCOM-B65C COM Express® Type 6 Compact Module combines powerful computing, AI acceleration, and rich I/O expansion in a compact 95 × 95 mm form factor.
Powered by AMD Ryzen™ Embedded 8000 Series processors, PCOM-B65C integrates up to 8 Zen 4 CPU cores, RDNA™ 3 graphics, and an AMD XDNA™ Neural Processing Unit (NPU) capable of delivering up to 16 TOPS of AI performance. This heterogeneous architecture enables real-time AI inference while maintaining strong graphics performance for medical visualization applications.
Supporting up to 96GB DDR5-5600 ECC/non-ECC memory, PCIe Gen4 expansion, optional onboard PCIe NVMe storage, and up to four independent displays, PCOM-B65C provides ample bandwidth for image acquisition, AI-assisted analysis, and multi-monitor diagnostic workflows. Furthermore, its configurable 15W–54W TDP allows system designers to optimize performance and thermal design for a wide variety of medical equipment.
Beyond computing performance, PCOM-B65C integrates Out-of-Band (OOB) Management, enabling remote power control, system reboot, and BIOS updates. This capability helps medical equipment manufacturers reduce maintenance costs while improving equipment availability and lifecycle management across distributed healthcare environments.
Advancing Intelligent Medical Devices
As AI continues to redefine modern healthcare, embedded computing platforms must provide more than raw processing power. They must deliver scalability, reliability, security, and long-term product support. Portwell PCOM-B65C combines AI acceleration, advanced graphics, flexible expansion, and industrial-grade reliability into a COM Express® Type 6 Compact module designed to meet these evolving requirements.
Whether deployed in AI-assisted medical imaging, diagnostic equipment, patient monitoring systems, surgical visualization, or intelligent healthcare devices, PCOM-B65C enables OEMs and medical system integrators to accelerate product development while building scalable healthcare solutions that can adapt to evolving clinical and technological requirements. Through continuous innovation in embedded computing, Portwell remains committed to helping medical and healthcare equipment manufacturers develop reliable, high-performance systems that support the evolving role of AI in medical technology.
