TORONTO – Hyperfine Inc. has received Health Canada approval for the first FDA-cleared portable magnetic resonance imaging (MRI) device, which also features advanced reconstruction deep learning software. The company simultaneously announced its commercial launch of the Swoop imaging system in Canada.

TORONTO – Health Gauge Inc. (HG) and AI-on-Call Inc. will soon deploy a digital remote patient monitoring solution for early prediction of sepsis at three seniors' facilities located in British Columbia. HG’s smartwatch and AI-driven cloud platform capture an array of vital signs data, including blood pressure, heart and respiratory rates, and will be supported by AI-on-Call software that alerts medical staff to early signs of sepsis and acute illness.

The U.K. government has doubled down on its overarching strategy for artificial intelligence (AI) with a 10-year plan to sustain the nation’s place in the global AI race. One of the key considerations in this plan is to revisit the criteria for status as an inventor, a clear nod to the dilemma presented by proponents of allowing the DABUS algorithm to be named as an inventor.

The FDA granted de novo marketing authorization for Paige Prostate, artificial intelligence (AI)-driven software that improves detection of prostate cancer. The clinical study submitted to the FDA demonstrated that using Paige Prostate resulted in a 7% improvement in sensitivity in correctly diagnosing cancer, increasing from 89.5% to 96.8%.

The question of whether an artificial intelligence (AI) algorithm can be an inventor has been making the rounds in the past couple of years, and the question came up again in the U.S. District Court for the Eastern District of Virginia. Stephen Thaler, who developed the Device for the Autonomous Bootstrapping of Unified Sentience (DABUS) algorithm that has been credited with two inventions, failed to persuade the court that an algorithm qualifies as an “individual,” and thus patents must still be assigned to humans, at least where the U.S. Patent and Trademark Office is concerned.

PARIS – Researchers from the department of radiation oncology at the European Hospital Georges Pompidou (HEGP) and Stanford University School of Medicine have together developed a new artificial intelligence (AI) prediction tool for patients diagnosed with prostate cancer. These researchers have just published a validation of this interpretable AI model in Cancers. “It’s a question of distinguishing patients at risk of mortality from aggressive cancer that is spreading rapidly, from patients who might have far less aggressive cancer and who are not likely to die from it in under 10, 15 or even 20 years,” Jean-Emmanuel Bibault, radiotherapy oncologist at HEGP, told BioWorld.

The World Health Organization’s (WHO) guidance for ethics and governance for artificial intelligence (AI) in health discusses several issues regarding regulation, including the question of transparency for the algorithm’s source code. The WHO paper is not prescriptive on this and several other issues, however, raising the prospect that regulatory entities will not be discouraged from adopting policies that run afoul of intellectual property concerns and thus impede advances in AI.

TORONTO – Femtherapeutics Inc. is combining artificial intelligence-driven machine learning and 3D design to manufacture a device for relieving urinary incontinence and discomfort in women suffering pelvic organ prolapse. The custom-made pessary is intended to support vaginal tissues displaced because of the condition, replacing conventional pessaries that company officials said can result in irritation and penetrate soft tissues causing bleeding.

PARIS – Gleamer SAS said Radiology published compelling results from a study evaluating the performance of its artificial intelligence (AI) system Boneview, which helps radiologists and emergency doctors detect and localize fractures. This is the first study to evaluate the performance of AI-assisted health care professionals in locating bone fractures on all appendicular X-rays.

Researchers at the University of Washington reported in the May 31, 2021, issue of Nature Medicine that artificial intelligence (AI) algorithms meant to recognize COVID-19 infections based on chest X-rays picked up on confounders, selecting “shortcuts” such as patient age or positioning in the X-ray as a basis for their predictions.