Artificial Intelligence (AI)

Digital health technologies, including algorithms for use in health care, are being developed to aid healthcare providers and serve patients, from use with administrative tasks and workflow to diagnostic and decision support.  The use of artificial intelligence (“AI”) and machine learning algorithms in health care holds great promise, with the ability to help streamline care

Spurred by the realities of the COVID-19 pandemic, FDA has taken a number of regulatory actions to advance the use of digital health technologies (“DHTs”) in clinical trials.  DHTs provide sponsors with opportunities to capture a broader array of information from study subjects than is typically available through traditional study designs.  This includes information from

As we kick off 2022, several recent developments from FDA suggest that this year could be pivotal for the Agency’s digital health priorities.  From new FDA offices and artificial intelligence guidance, to FDA’s user fee commitments and must-pass legislation in Congress, this post outlines five key issues to watch in 2022 related to FDA and

On 27 October 2021, the U.S. Food and Drug Administration (“FDA”), Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (“MHRA”) (together the “Regulators”) jointly published 10 guiding principles to inform the development of Good Machine Learning Practice (“GMLP”) for medical devices that use artificial intelligence and machine learning (“AI/ML”).

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The Medicines & Healthcare products Regulatory Agency (“MHRA”) has published a “Consultation on the future regulation of medical devices in the United Kingdom” (the “Consultation”), which will run until 25 November 2021.  The consultation sets out proposed changes to the UK medical device regulatory framework with the aim to “develop

The International Coalition of Medicines Regulatory Authorities (“ICMRA”) has published a report on the use of artificial intelligence (“AI”) to develop medicines (the “AI Report”) that provides a series of recommendations on how regulators and stakeholders can address challenges posed by AI.  The ICMRA notes that there are numerous opportunities to apply AI to medicines development, but that AI poses a number of challenges to existing regulatory frameworks.  The AI Report discusses these opportunities and challenges in detail based on several case studies, and provides a set of recommendations for implementation by the ICMRA and its member authorities, which includes the European Medicines Agency (the “EMA”), the USA’s Food and Drug Administration, and the World Health Organisation.  Based on the AI report, we expect to see an increased focus on adapting regulatory frameworks to deal with AI products going forwards both on an international and national level.

Continue Reading ICMRA Publishes Report and Recommendations on AI and Medicinal Products

On June 22, 2021, Congressional leaders Diana DeGette (D-DO) and Fred Upton (R-MI) released a bipartisan follow-up to the 2016 21st Century Cures Act“Cures 2.0”—a “discussion draft” at this stage—is intended to build upon the Cures Act.  The draft lays out several notable policies related to digital health, real-world data/evidence (RWD/E), and

In April 2021, the European Commission released its proposed Regulation Laying Down Harmonized Rules on Artificial Intelligence (the “Regulation”), which would establish rules on the development, placing on the market, and use of artificial intelligence systems (“AI systems”) across the EU. The proposal, comprising 85 articles and nine annexes, is part of a wider package of Commission initiatives aimed at positioning the EU as a world leader in trustworthy and ethical AI and technological innovation.

The Commission’s objectives with the Regulation are twofold: to promote the development of AI technologies and harness their potential benefits, while also protecting individuals against potential threats to their health, safety, and fundamental rights posed by AI systems. To that end, the Commission proposal focuses primarily on AI systems identified as “high-risk,” but also prohibits three AI practices and imposes transparency obligations on providers of certain non-high-risk AI systems as well. Notably, it would impose significant administrative costs on high-risk AI systems of around 10 percent of the underlying value, based on compliance, oversight, and verification costs. This blog highlights several key aspects of the proposal.
Continue Reading European Commission Proposes New Artificial Intelligence Regulation

On January 6, 2021, the UK’s AI Council (an independent government advisory body) published its AI Roadmap (“Roadmap”). In addition to calling for a  Public Interest Data Bill to ‘protect against automation and collective harms’, the Roadmap acknowledges the need to counteract public suspicion of AI and makes 16 recommendations, based on three main pillars, to guide the UK Government’s AI strategy.

Continue Reading AI Update: The Future of AI Policy in the UK

On 18 January 2021, the UK Parliamentary Office of Science and Technology (“POST”)* published its AI and Healthcare Research Briefing about the use of artificial intelligence (“AI”) in the UK healthcare system (the “Briefing”).  The Briefing considers the potential impacts of AI on the cost and quality of healthcare, and the challenges posed by the wider adoption of AI, including safety, privacy and health inequalities.

The Briefing summarises the different possible applications of AI in healthcare settings, which raises unique considerations for healthcare providers.  It notes that AI, developed through machine learning algorithms, is not yet widely used within the NHS, but some AI products are at various stages of trial and evaluation.  The areas of healthcare identified by the Briefing as having the potential for AI to be incorporated include (among others): interpretation of medical imaging, planning patients’ treatment, and patient-facing applications such as voice assistants, smartphone apps and wearable devices.

Continue Reading AI Update: UK Parliament Research Briefing on AI in the UK Healthcare System