In Ciconia Medical Inc.’s first patenting, the company’s founder and CEO, Roni Cantor-Balan, describes the development of a cervical measurement device for childbirth progress monitoring that replaces the manual vaginal examinations undertaken during labor.

The U.S. FDA’s device center is working to refine its regulation of artificial intelligence algorithms, but the agency is recommending that industry be more forward-thinking in a blog that urges device makers to fully adopt a life cycle management mindset for these systems.

Regulation of artificial intelligence for medical devices is still a developing space, but market competition authorities in the European Union, the U.K. and the U.S. are already examining the potential for anticompetitive behavior in this rapidly growing technological arena.

Spotlight Medical SAS recently raised €6.2 million (US$6.7 million) in seed funding to bring its first artificial intelligence-powered cancer test to the market as it looks to transform treatment of the disease. “We believe our personalized testing approach will revolutionize cancer treatment, providing everyone with the best possible chance to beat cancer,” Sylvain Berlemont, CEO of Spotlight told BioWorld.

The recent conviction of Ontrak Inc. CEO Terren Peizer for insider trading was conspicuous on two counts, including that it was the first time such a conviction had been obtained solely for trading conducted under a government-approved insider trading policy. More worrisome for industry, generally, is the case is another example of federal prosecutors’ ever-growing use of data and analytics to root out violations of SEC law. This is a trend that seems destined to grow with advances in artificial intelligence.

For the third time in as many years, Health Canada, the U.S. FDA and the UK Medicines and Health Care Products Regulatory Agency have teamed up to issue a set of recommendations for artificial intelligence used in or as a medical device.

Avenda Health Inc. said the findings of a new study published in The Journal of Urology demonstrate the ability of artificial intelligence to accurately identify cancer in oncology imaging and diagnostics.

Omniscient Neurotechnology Ltd. closed a $60 million series C fundraising round to expand its reach in the U.S. market for its Quicktome platform that leverages AI to convert a standard MRI scan into a detailed map of an individual’s brain networks.

The U.S. FDA granted Avicenna.AI SAS 510(k) clearance for Cina-VCF, its artificial intelligence-based solution that detects unsuspected vertebral compression fractures (VCFs) in patients undergoing chest or abdomen CT scans. The company hopes that early detection of VCFs will allow patients to be checked for osteoporosis and start treatments early to reduce the risk of their fracture deteriorating.

The U.S. FDA is keen to develop tools for oversight of artificial intelligence (AI) as demonstrated by a batch of research projects designed to inform the review of medical applications of AI. The agency’s concern is that there is a dearth of “robust evaluation methods” for evaluating AI products, thus the need for tools that will allow the agency to clear or approve such products with an assurance that these algorithms are safe and effective for their intended use.