The comment period has closed on the U.S. FDA’s discussion draft for artificial intelligence (AI) in medical devices, a paper that attracted the attention of medical societies and regulated industry. One of the questions posed by industry was whether the FDA is in a position to deal with the massive volumes of data developers would have to disclose to the agency, creating concern that such disclosures would amount to little more than an obligatory and useless data dump.
The implementation date for the EU’s new med-tech regulatory framework has been pushed back a year, giving device makers much-needed breathing room for compliance work. At the same time, the International Organization for Standardization (ISO) has not fulfilled the planned May update of its device clinical investigations standard, ISO 14155.
Developers of artificial intelligence (AI) algorithms have their own nightmares to deal with, but the FDA is charged with employing a regulatory touch that steers clear of rocky shoals on one side and inescapable whirlpools on the other. The FDA’s Bakul Patel said during a Feb. 25 workshop that the FDA would quickly be swamped if the agency took a traditional regulatory approach to managing the super-iterative digital health space, but that the agency will keep a keen eye on the potential impact on patients as AI begins to move into clinical practice.
PERTH, Australia – Australia’s Therapeutic Goods Administration (TGA) has issued a draft guidance to help sponsors better understand the evidence requirements for market authorizations for medical devices, including in vitro diagnostics (IVDs) and software as a medical device (SaMD).
Australia's Therapeutic Goods Administration (TGA) recently posted a draft guidance for regulation of software as a medical device, but the Medical Technology Association of Australia expressed a preference for an international standard for risk classification.
PERTH, Australia – It's likely that Australia will not draft separate guidance or regulations for software applications that use artificial intelligence or machine learning (AI/ML) for drug development or medical devices. Instead, the Therapeutic Goods Administration (TGA) will classify AI and ML under software as a medical device (SaMD) when it is intended for diagnosis, prevention, monitoring or treatment or alleviation of disease.