MathWorks and Nvidia Collaborate on Software-Defined Workflows in Med Tech

MathWorks has recently unveiled an exciting integration that brings Matlab functionality to the Nvidia Holoscan platform. This collaboration opens up new possibilities for medical device engineers, allowing them to leverage their existing Matlab algorithm codebase to develop and deploy AI-enabled applications using Holoscan.

By integrating Matlab into Holoscan, engineers can accelerate the development and deployment of streaming data analysis and visualization applications. This is achieved by wrapping the algorithms and functions into GPU-accelerated Holoscan operators, enabling real-time data processing and inference.

Medical device engineers face the challenge of navigating complex global regulations while keeping up with rapid technological advancements. This often leads to devices becoming near-obsolete shortly after launch, giving rise to the concept of Software as a Medical Device (SaMD).

Holoscan serves as a sensor processing platform that simplifies the development and deployment of AI and high-performance computing applications for real-time insights. It provides a full-stack infrastructure for scalable, software-defined streaming data processing at the edge, facilitating the integration of cutting-edge AI applications into clinical settings.

The integration of Matlab into Holoscan equips medical device engineers with the tools to utilize built-in matrix operations and complex toolbox functions for tasks such as image and signal processing, filtering, transforms, and deep learning algorithms.