Research outcomes, brought to the medical frontline

There was a lack of expertise in incorporating AI functionality into medical devices, and no structure was in place to properly evaluate performance.

Project overview

Challenge

There was a lack of expertise in incorporating AI functionality into medical devices, and no structure was in place to properly evaluate performance.

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Approach

Research results obtained at a university were incorporated into a medical device application, with support for modularizing and implementing the AI functionality.

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Outcomes

Streamlined the process of introducing AI into medical devices, supporting smooth implementation while maintaining quality.

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Challenge

There was a lack of expertise in incorporating AI functionality into medical devices, and no structure was in place to properly evaluate performance.

Approach

Research results obtained at a university were incorporated into a medical device application, with support for modularizing and implementing the AI functionality.

A structure for performance evaluation was also built alongside this.

Illustration depicting research results being incorporated into a medical device application

Outcomes

Streamlined the process of introducing AI into medical devices, supporting smooth implementation while maintaining quality.

Illustration depicting process efficiency at a medical institution

Topics

Advisory