The FDA has rejected Artrya Ltd.’s 510(k) application for its Salix coronary anatomy (SCA) software that analyzes heart computed tomography scans via artificial intelligence (AI) to better diagnose coronary artery disease. “The FDA has advised that the Artrya Salix product is not equivalent to the predicate device,” Artrya CEO John Barrington told BioWorld.
Los Angeles-based cancer diagnostics company Nonagen Bioscience Corp. obtained CE marking for its Oncuria immunoassay for bladder cancer. The multiplex urine test is designed to detect the concentration of 10 proteins that are associated with bladder cancer in urine samples. Clinical studies found the test has a 93% sensitivity and 93% specificity for detecting bladder cancer. The test is also designed to predict whether people are more likely to respond to bacillus Calmette-Guérin (BCG) therapy, a first-line treatment for bladder cancer.
The U.S. FDA is among the regulators that are taking account of the views of patients in medical device development and regulation, but artificial intelligence (AI) and machine learning (ML) are terra incognita for many, if not most patients. Rebekah Angove, vice president for patient experience and program evaluation at the Patient Insight Institute, told BioWorld that while some patients clearly want to know more about AI and ML, it is also clear that more than a certain amount of detail is more of a distraction than a help for most patients.
Artificial intelligence (AI) and machine learning (ML) are all the rage in 2022 when it comes to medical radiology, but regulators across the globe are struggling to devise regulatory frameworks that ensure safety and efficacy without strangling innovation. There are a number of other stakeholders in this sphere of med tech, however, each with their own considerations. In this six-part series, BioWorld will examine these considerations in an effort to characterize the working environment for AI and ML as it exists now, and what that environment might look like in the years ahead.
Sophia Genetics SA shared preliminary findings from its multimodal Deep-Lung-IV clinical study at the 2022 American Society of Clinical Oncology annual meeting. The study is utilizing Sophia’s cloud-based, artificial intelligence diagnostic platform to identify multimodal predictive signatures of response to immunotherapy for patients with advanced lung cancer.
Less than three years after unveiling the first Sonovein device, Theraclion SA is launching its CE-marked, third-generation platform, Sonovein HD. This represents a new generation of robotics platform for noninvasive treatment of varicose veins. The new version integrates the acquisition and analysis of technical data during the procedure.
Otsuka Pharmaceutical Co. Ltd. and Ai-Brainscience Inc. signed an exclusive sales agreement for Japan that will see Otsuka market Ai-Brainscience’s eye-tracking application to test for cognitive function. The eye-tracking app, AiBS-01, could become the first dementia diagnosis application to receive regulatory approval in Japan. Ibaraki, Japan-based Ai-Brainscience (AiBS) is developing devices that use the eye-tracking based cognitive assessment test to detect early dementia beyond the conventional assessment methods performed by specialists.
The transformation of cardiology continues with two U.S. FDA actions to promote the use of artificial intelligence (AI): a 510(k) clearance for Rapidai Inc.’s pulmonary embolism (PE) triage and notification product and breakthrough device designation for Anumana Inc.’s pulmonary hypertension (PH) early detection algorithm.
The European Commission (EC) has proposed new legislation directed toward formation of a European Health Data Space (EHDS), which is nominally intended to address some perceived gaps in the General Data Protection Regulation (GDPR). While this legislative proposal seems to interact with both the GDPR and pending EU legislation on artificial intelligence, the EHDS takes on the massive challenge of compulsory interoperability of electronic health records (EHRs). The EC unveiled the proposal with an emphasis on health data accessibility, although both the European Council and the European Parliament will now have their say over how the legislation will ultimately read.
Beacon Biosignals Inc. has teamed up with Stratus Inc., a provider of electroencephalogram (EEG) services, to improve at-home brain monitoring and neurodiagnostics using Beacon’s machine learning-driven neuroanalytics platform. The collaboration will increase opportunities for home-based studies of Alzheimer’s and other neurological diseases.
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