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Podcast: State Taxation of Digital Health Products
Jones Day Talks Health Care & Life Sciences: What Digital Health Innovators Should Know about the FDA Approval Process
Further to the guiding principles on the use of artificial intelligence (AI) and machine learning (ML) technologies jointly published by the U.S. Food and Drug Administration (FDA), Health Canada, and the United Kingdom’s...more
On March 30, the U.S. Food and Drug Administration (FDA) published draft guidance that proposes recommendations on the types of information that should be included in a Predetermined Change Control Plan (PCCP) in a marketing...more
On April 3, 2023, the US Food and Drug Administration (FDA) published its draft guidance, Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence/Machine Learning...more
On October 27, 2021, the U.S. Food and Drug Administration (FDA), Health Canada and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (MHRA) issued a set of ten guiding principles meant to aid the...more
On October 27, 2021, pursuant to the Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device Action Plan (Action Plan), the US Food and Drug Administration (FDA) released its Good Machine Learning...more
Key Points - FDA will publish draft guidance on its Predetermined Change Control Plan in 2021 and host a public workshop on transparency requirements around AI/ML-based devices. - FDA plans to pilot Real-World Performance...more
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...more