Design Engineering

Real-time communication for medtech AI systems

By DE Staff   

Automation Medical

Real-Time Innovations (RTI) has announced a new partnership with NVIDIA to deliver real-time data connectivity for the NVIDIA Holoscan software development kit (SDK) through RTI Connext. This development aims to improve real-time communication for complex, intelligent systems in the health care industry.

RTI Connext now integrates with NVIDIA’s AI sensor processing pipelines, enabling efficient, low-latency and reliable data sharing for sensor and video processing across distributed systems. This collaboration allows product teams to build and deploy AI-enabled applications that leverage the robust data-sharing capabilities of Connext, providing scalable and flexible integration across various systems and sensors.

“Connectivity is crucial for technologies like AI that are advancing the medtech industry,” RTI medical market development manager Darren Porras said. “Our work with NVIDIA aims to enhance health care by providing reliable, real-time data sharing solutions.”

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The integration of RTI Connext with NVIDIA’s AI capabilities will support real-time visualization and data-driven insights, aiding in precise and automated minimally invasive procedures, clinical monitoring, and next-generation medical imaging platforms. It will also facilitate smarter, integrated systems across various industries.

Connext, based on the Data Distribution Service (DDS) standard, is known for its reliability across various industries. It supports over 2,000 programs, enabling applications to work together seamlessly. The combination of RTI Connext and NVIDIA Holoscan promises to enhance interoperability and real-time data processing capabilities, supporting a wide range of medical and industrial applications.

NVIDIA Holoscan provides the necessary software and hardware for building AI applications and deploying sensor processing capabilities from edge to cloud, helping companies accelerate time to market and reduce costs. The new integration will support interoperability with a wide range of legacy systems, enhancing the capabilities of medical devices, surgical robotic systems, and patient monitoring systems.

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