Update Integrates MATLAB in NVIDIA’s Holoscan Platform
MathWorks announced an integration making MATLAB available in the NVIDIA Holoscan platform, empowering medical device engineers in the development and deployment of streaming data analysis and visualization applications. The integration wraps existing MATLAB algorithms and functions into GPU-accelerated NVIDIA Holoscan operators to perform real-time data processing and inference.
It can also help address complex and evolving global regulations, such as the emergence of Software as a Medical Device (SaMD), defined by the International Medical Device Regulators Forum as “software intended to be used for one or more medical purposes that perform those purposes without being part of a hardware medical device.” Developing SaMD products requires the ability to integrate additional software feature functionality over time to keep pace with both application and regulatory demands.
NVIDIA Holoscan is a sensor processing platform that accelerates the development and deployment of AI and other high-performance computing applications, bringing the latest AI applications into clinical settings by providing full-stack infrastructure for scalable, software-defined streaming data processing at the Edge. The MATLAB integration into Holoscan will help medical device engineers use existing built-in matrix operations, complex toolbox functions, and deep-learning algorithms.
Implementing a Holoscan pipeline with MATLAB requires creating a MATLAB function, generating accelerated CUDA code using GPU Coder, creating a Holoscan operator wrapper, and rebuilding the Holoscan application with a new MATLAB operator. Other integrated verification and validation capabilities in MATLAB and Holoscan allow developed software-defined workflows to comply with industry regulations and standards, including IEC 62304.
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MathWorks
MATLAB
NVIDIA
Holoscan
Software as a Medical Device