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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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Five highlights from FDA's new AI device regulation Action Plan | Hogan Lovells


To embed, copy and paste the code into your website or blog:
On January 12, the U.S. Food and Drug Administration’s Center for Devices and Radiological Health (CDRH) Digital Health Center of Excellence
released its new five-part “Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan
,” which describes the agency’s efforts to regulate products that incorporate AI. It is a direct response to stakeholder feedback to the April 2019 discussion paper
, “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning-Based Software as a Medical Device.” Although the Action Plan is light on details for AI regulation, it pledges specific actions that show FDA is moving forward with its “Predetermined Change Control Plan” regulatory framework for machine learning devices. The docket ....

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FDA's Action Plan for Artificial Intelligence: Highlights and Insights for Developers | Sheppard Mullin Richter & Hampton LLP


To embed, copy and paste the code into your website or blog:
The US Food and Drug Administration (FDA) published an Action Plan for artificial intelligence (AI) and machine learning (ML) software on January 12, 2021 that provides near-term actions to develop a regulatory framework for AI and ML-based medical devices.  The quick takeaway is that FDA will publish a draft guidance on change control plans, a key concept from its April 2019 discussion paper on AI/ML-based software devices (previously reported here). FDA also will hold a public workshop on algorithm transparency and engage its partners and stakeholders on other key initiatives, such as evaluating bias in algorithms. While the Action Plan proposes a roadmap for advancing a regulatory framework, an operational framework appears to be further down the road. ....

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FDA: Artificial Intelligence & Machine Learning Action Plan


Tuesday, January 12, 2021
The US Food and Drug Administration (FDA) published an Action Plan for artificial intelligence (AI) and machine learning (ML) software on January 12, 2021 that provides near-term actions to develop a regulatory framework for AI and ML-based medical devices.  The quick takeaway is that FDA will publish a draft guidance on change control plans, a key concept from its April 2019 discussion paper on AI/ML-based software devices (previously reported here). FDA also will hold a public workshop on algorithm transparency and engage its partners and stakeholders on other key initiatives, such as evaluating bias in algorithms. While the Action Plan proposes a roadmap for advancing a regulatory framework, an operational framework appears to be further down the road. ....

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