The U.K. Medicines and Health Care Products Regulatory Agency has provided guidance on what does and does not constitute a regulated digital mental health technology, but developers should be aware that promotional claims could push a product from the unregulated to the regulated category.

U.S. federal law is still lacking where AI is concerned, but California’s attorney general issued a bulletin that elevates the legal hazards of AI in medical use. The bulletin says that AI tools may not supplant a physician’s decision-making, a provision that would seem to render some FDA-cleared products illegal there.

C the Signs Ltd. recently received a capital injection of $8 million from Khosla Ventures to expand its AI-powered cancer prediction platform to the U.S. market.

The EU has moved aggressively on legislation in recent years, with the AI Liability Directive serving as the latest example of legislation that sparked widespread opposition.

Device makers know all too well the hazards of liability where their products are concerned, but those liabilities may soon balloon dramatically in the EU. Two pieces of EU legislation are in development, including the AI Liability Directive, which may have the effect of forcing the defendant in a liability case to prove that its product was not the cause of the alleged harm.

Researchers from Cornell University are seeking protection for their invention of a low-cost artificial intelligence (AI)-based platform that analyses low resolution electrocardiogram data and/or photoplethysmography data to accurately and objectively assess pain.

The discussion about taxpayer appropriations for CMS has been ongoing for decades, leading to futile speculation regarding user fees for the agency. Louis Jacques, who formerly worked at CMS, told BioWorld that Congress tends to be somewhat reactive when it comes to appropriations for CMS – a dynamic which suggests that appropriations for CMS are not likely to improve significantly in the near term.

An artificial intelligence-based tool developed by researchers in the U.K. is helping doctors identify people at risk of developing atrial fibrillation. Data from the ongoing Find-AF pilot study shows that the algorithm can comb through patients’ electronic health records and detect red flags which could indicate whether they are at risk of developing the heart condition.

Artificial intelligence (AI) is no novelty for medical technology, but 2024 saw an interesting series of events in this area from across the globe. While some of these developments portend immediate regulatory clarity, some are harbingers of continued regulatory flux in 2025 and beyond.

AI pulled in major financings and approvals for Asia med-techs in 2024 as Asia Pacific countries played to individual strengths to maximize AI’s applications in the health care sector. While breakaway AI technologies like OpenAI’s ChatGPT reshaped and boosted many industries, AI also drove major financings for APAC med-techs weathering a wider macroeconomic downturn, with AI-based companies accounting for five out of 11 IPOs tracked on BioWorld’s med-tech IPOs list.