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Validating Machine Learning Systems For Safety Critical Applications With Ketryx

AI Engineering Podcast

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Regulatory Burdens on ML Teams in Medical Applications

The speakers discuss the challenges faced by machine learning teams developing solutions for medical applications due to regulatory burdens. They highlight the importance of robustly describing the system and validating ML systems to meet performance parameters. They also address the impact of software supply chain management on accuracy, reliability, and cybersecurity in healthcare.

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