On April 2, 2019, FDA released a discussion paper entitled “Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD)” (the “AI Framework”). The AI Framework is the Agency’s first policy document describing a potential regulatory approach for medical devices that use artificial intelligence (“AI”) and machine learning (“ML”). The AI Framework does not establish new requirements or an official policy, but rather was released by FDA to seek early input prior to the development of a draft guidance. FDA acknowledges that the approach “may require additional statutory authority to implement fully.”
In an accompanying press release, former FDA Commissioner Scott Gottlieb outlined the need for a “more tailored” regulatory paradigm for algorithms that learn and adapt in the real world. FDA’s medical device regulation scheme was not designed for dynamic machine learning algorithms, as the Agency traditionally encounters products that are static at the time of FDA review. The AI Framework is FDA’s attempt to develop “an appropriate framework that allows the software to evolve in ways to improve its performance while ensuring that changes meet [FDA’s] gold standard for safety and effectiveness throughout the product’s lifecycle.”
Continue Reading FDA Outlines Proposed Framework for Regulating Artificial Intelligence Software