Safety of AI in Medical Devices
Safety of AI in Medical Devices

AI in Medical Devices: Safety Questions the Industry Can’t Afford to Ignore

By Pujitha Gourabathini

Artificial intelligence is moving quickly into mainstream medical devices, and the industry has become fluent in a familiar set of concerns: bias, transparency, and cybersecurity. These topics matter, but they don’t capture the risks most likely to shape patient safety in the coming decade. The deeper challenges lie in the interactions between algorithms, clinical workflows, data pipelines, and human decision making. Those interactions are where safety is won or lost, and they remain the least examined part of AI adoption.

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Taking the Headache out of Maintaining 21 CFR Compliance

By Bryan Christiansen

Overcoming 21 CFR compliance challenges – stringent equipment maintenance requirements, overwhelming documentation demands, the need to maintain data integrity. Insights into challenges healthcare organizations face with compliance and how to incorporate new tools and processes for streamlining maintenance processes, reducing compliance burdens, and ensuring the highest standards of safety and efficiency.

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