Big data, machine learning (ML) and artificial intelligence (AI) have enabled medical researchers to gain deeper insights by analyzing large amounts of patient data – insights that can help doctors make better decisions, better diagnose and treat patients with low sensitivity.
When combined with live patient data, AI can process and analyze trained models in real time. This so-called AI is opening up new opportunities for medical device manufacturers to create new and disruptive medical devices that are helping to shape the future of healthcare.
Such a bright and promising future for the healthcare industry is closer than we think, as AI is already gaining benefits for the sector worldwide. Many players have created an ecosystem for medical AI and GPU and AI heavyweight NVIDIA is among the leaders.
With support from NVIDIA's Project Inception, a South Korean medical imaging startup called Lunit has been able to develop an AI-based system that can detect colds in COVID-19 patients within seconds. The company said that the beauty of AI in this application is its ability to process large amounts of data and identify trends, which are impossible, in terms of the time required and the resources required by professionals.
Another member of Inception, Australian startup EMVision, can create a lightweight brain-scanning device using the NVIDIA Jetson Edge AI platform and NVIDIA DGX. The portable scanner - suitable for use at the point of care and in an ambulance - can detect strokes within minutes, which is critical because the average stroke victim will lose nearly less than two million neurons in each remaining minute, Clear time is key in such situations.
Based on electromagnetic imaging technology, EMVision's cap-style device uses NVIDIA-powered AI to differentiate between ischemic and hemorrhagic strokes (clotting and bleeding) in the shortest possible time.
Intervention
As the example of EMVision shows, the integration of AI technology is helping to provide better patient care than ever before.
The challenge for medical device manufacturers is to integrate complex AI models that have been tested and refined in server farms and data centers into smaller applications. NVIDIA supports this with its flagship Jetson platform for embedded AI. Advantech, as one of NVIDIA's ecosystem partners, develops a wide range of off-the-shelf and custom embedded computing solutions using the Jetson architecture.
For example, based on NVIDIA's latest Jetson AGX Orin, the AIR-030 high-performance AI front-end computer can deliver powerful AI input for powerful intelligent machines.
The system includes various I/O options, such as CAN bus for motion and other controls, LAN with PoE option for camera input and DI/Os for sensors/actuators. Suitable for real-time video analysis and AI robotics applications, the AIR-030 series helps AI developers improve performance by using 10GE for high-speed communication.
Finally, the AIR-030 comes with the NVIDIA JetPack 5.0 Software Development Kit (SDK) to reduce development efforts. Advantech's DeviceOn package for Edge AI provides deployment, remote control, and upgrade capabilities and on NVIDIA platforms, this enables the deployment of AI deployment models on free machines with Docker. Strong insights can be gained from a close look at AI-related performance metrics, such as input levels.
Custom AI systems
Advantech's Design and Manufacturing Services (DMS) has developed bespoke AI solutions for use in the healthcare industry, from customizing existing standard products to custom-designed cards and systems.
IT systems for healthcare environments, Advantech DMS builds on a strong foundation to take advantage of the latest AI technologies. Whether customers need integrated solutions on the Jetson platform, integration with FPGA devices, or high-performance enterprises that combine servers with one or more GPU accelerators, the engineers of Advantech know how these structures are designed, evaluated, supported and validated according to health. principle. This process includes design for manufacturing and for quality through design planning, and the active participation of design engineers in the design life cycle.
To demonstrate the possibilities of AI integration in healthcare, Advantech's DMS team developed a medical-grade AI PC box based on NVIDIA technology. By combining up to 384 NVIDIA GPU cores capable of high performance and a large memory subsystem, the PC offers great processing power for various tasks such as image processing and computing. scans) or fluorescence tomography, where you are responsible for good energy efficiency. Integrated IoT platforms
As a leader in integrated computing solutions with more than 550 employees in Europe and more than 8,500 employees worldwide, Advantech offers a wide range of powerful and scalable Internet of Things (IoT) solutions, including motherboards, single computer computers (SBC), computers. -on-modul (COMs), boxes and panel PCs, servers, tablets, open displays, monitors and video solutions.
With a focus on the healthcare industry, Advantech provides long-term product availability, total cost of ownership (TCO), and support from initial product design through end-of-life (EOL). Advantech's healthcare customers, including the world's top 30 pharmaceutical OEMs, benefit from product lifetimes of up to 14 years and long-term capabilities, global technical support and logistics services.
With a proven track record as a partner to medical device manufacturers, and strong and continuous investment in advanced technology and a dedicated development facility for custom devices, Advantech helps OEMs helping to create innovative therapies and transformative solutions based on NVIDIA's artificial intelligence technology. less risk, less cost and less time to market.
With such involvement in the medical AI ecosystem, Advantech aims to make the world more beautiful and sustainable by helping medical professionals incorporate research-based innovations into advanced products for imaging. diagnosis, treatment, robotics and patient monitoring. This, in turn, will help bring the power of AI to new areas such as endoscopy, radiology and surgery in the smart hospitals of the future.