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.

Caresyntax GmbH, a Berlin-based provider of surgical automation, analytics and AI software technologies, picked up $45.6 million in venture funding. The funds will be used to accelerate U.S. and global expansion and support continued development and deployment of Caresyntax products. Participating in the financing were Whiz Partners, a Takeda-back drug discovery gateway investment limited partnership, Plug and Play Tech Center, Barco Healthcare, Mitsubishi Corp., Relyens, IPF Partners and Caresyntax founders Dennis Kogan and Bjoern von Siemens.

A neuropsychologist consult is typically the first step for a neurologist in aiding in the diagnosis and monitoring of neurological conditions. But timely appointments for an assessment by these specialists can be difficult to obtain, even under the best of circumstances. To better enable neurologists to assess which patients are most in need of a consultation with a neuropsychologist, Royal Philips NV has launched an artificial intelligence (AI)-based cognitive assessment tool in the U.S. Known as Philips Intellispace Cognition, the digital, cloud-based assessment tool takes established neuropsychological tests and enables their administration by a medical assistant via a tablet in an office setting.