TORONTO – Seven years after setting up shop in downtown Toronto, high resolution, surgical imaging med-tech company Perimeter Medical Imaging Inc. (PMI) is still wrestling with a statistical heartbreaker: 1 in 4 patients told to return for a second surgery to remove cancerous breast tissue after the first surgery failed to get it all. Now PMI has said it can cut that number down dramatically thanks to a $7.44 million investment from the Austin, Texas-based Cancer Prevention and Research Institute of Texas (CPRIT) to identify wayward breast cancer cells using artificial intelligence technology.
Deep Lens Inc. has integrated molecular data parsing and management technology into its Viper clinical trial screening and enrollment platform, enabling automated matching of patients with eligible genetic profiles to clinical trials. The Columbus, Ohio-based company licensed the proprietary technology from the University of Miami.
Paris-based health care startup Cardiologs Technologies SAS has launched a clinical study to assess the use of its artificial intelligence (AI) platform to remotely monitor cardiac safety in COVID-19 patients being treated with the malaria drug hydroxychloroquine. The study could help to detect and prevent serious cardiac effects of the drug.
AI-based, digital pathology startup Proscia Inc. has partnered with the University of California at San Francisco (UCSF) to advance the practice of pathology via artificial intelligence (AI). The pair will start with prostate cancer and then plan to move on to validate approaches in several additional pathology subspecialties.
BEIJING – More and more companies and researchers in China are rolling out artificial intelligence (AI)-based systems that can process hundreds of computed tomography (CT) images in seconds to speed up diagnosis of COVID-19 and assist in its containment.
LONDON – Consumer smartphone apps that use image processing algorithms to assess and monitor potentially cancerous skin lesions have not been properly tested in clinical trials and cannot be relied on to produce accurate results, according to a systematic review of published studies.
ANAHEIM, Calif. – Is artificial intelligence (AI) ready for prime time in health care? What’s hype and what’s real? That’s the question that was posed to an expert panel at MD&M West.
PARIS – EY SAS has published the results of the first edition of a barometer dedicated to the role of artificial intelligence (AI) in French public hospitals. The health care sector, which is undergoing wholesale change in France, is suffering tight economic constraints and faces ever-increasing expectations from patients. “The development of [AI] in France is a priority. It's a matter of gauging it,” Loïc Chabanier, an EY partner responsible for health care, told BioWorld.
What does the landscape look like in terms of funding for digital health? Geoffrey Starr, a partner at Cooley LLP, dove into this question during the Digital Health Summit, part of CES 2020. He acknowledged that 2019 saw a slight dip in funding compared with the record-breaking previous year. With that said, it was the second largest year ever for digital health care financings, with more than one-third of all health care venture financings involving digital health technologies.
Artificial intelligence (AI) is better than humans at pattern recognition within images and other densely complex datasets. That fact has long been expected to translate into meaningful change in the way we interpret health care data, but beyond a few early exceptions that is not yet the case. Now, the research is starting to amass that demonstrates the real potential for machine learning to significantly improve diagnostics and treatment.
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