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Podcast: Non-Binding Guidance: FDA Regulatory Developments In AI And Machine Learning - Food, Drugs, Healthcare, Life Sciences


This installation of Ropes & Gray s podcast series
Non-binding Guidance focuses on FDA regulatory
developments in the area of artificial intelligence
( AI ) and machine learning. AI and machine learning
represent a rapidly growing frontier in digital health, with
applications ranging from medical device software used for
diagnostic and triaging applications to drug candidate selection to
clinical trial design and interpretation. In this episode, FDA
regulatory attorneys Kellie Combs, Greg Levine, and Sarah
Blankstein explore the development and uptake of these technologies
in response to the ongoing COVID-19 pandemic, FDA s current
regulatory landscape for these technologies, recent steps FDA has
taken to update its regulatory approach to these tools in ....

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FDA Announces Action Plan for Oversight of AI/ML in Medical Devices | Perkins Coie


To embed, copy and paste the code into your website or blog:
On January 12, 2021, the U.S. Food and Drug Administration (FDA) released the Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan (Action Plan). The Action Plan expresses that the “FDA’s vision is that, with appropriately tailored total product lifecycle-based regulatory oversight, AI/ML-based Software as a Medical Device (SaMD) will deliver safe and effective software functionality that improves the quality of care that patients receive.”
The FDA currently regulates and has approved “locked” SaMD utilizing AI/ML, but has struggled to determine the appropriate regulatory approach for “adapting” AI/ML SaMD that learns and evolves using real world inputs over time. The Action Plan is the FDA’s step forward to address this challenge. ....

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