Based on an evaluation of 10 artificial intelligence algorithms for diabetic retinopathy screening, the U.K. National Screening Committee (NSC) recommended Eyenuk Inc.’s Eyeart system as the only one ready for live clinical implementation. The system will be rolled out first in the North East London National Health Service (NHS) Diabetes Eye Screening Program (DESP).
The French and German governments have just announced a major project to develop a digital platform for the early detection of new respiratory pathogen epidemics, and then monitor their spread and inform decisions on appropriate counter measures. The COVID-19 crisis has confirmed the need for a resilient multi-stakeholder surveillance and control system to manage current and future epidemics or pandemics.
Regulatory harmonization is seen as vital to the development of markets for artificial intelligence (AI) and machine learning (ML), but there is some variation in the terminology used to describe these algorithms. The International Medical Device Regulators Forum (IMDRF) has posted a document that includes some definitions for ML terms such as unsupervised machine learning, a key development if regulations across the globe are to avoid a hopeless state of balkanization.
Wysa Ltd.’s artificial intelligence-based digital therapy received FDA breakthrough device designation for adults with chronic musculoskeletal pain, depression and anxiety. The device delivers cognitive behavioral therapy (CBT) via a digital companion or conversational agent on a smartphone.
Cybersecurity remains a pressing issue for medical technology, in part because there are new, small companies jumping into this space seemingly every day. However, there is a shortage of talent in cybersecurity, something that Dan Lyon, director of cybersecurity at Boston Scientific Corp., of Marlborough, Mass., said will not ease soon due to a lack of interest among colleges and universities in providing curriculum and degrees in this area.
With cancer treatment success rates rising, the field of precision oncology is poised to grow as clinicians aim to move treatment from a one size fits all approach to personalized treatment regimens. Israeli startups including Oncohost Ltd., Nucleai Ltd. and Gina Life Diagnostics Ltd. are part of an emerging wave of companies utilizing artificial intelligence (AI) and machine learning (ML) techniques to personalize the future of cancer diagnostics.
Be’er Sheva, Israel-based Dia Imaging Analysis Ltd. has partnered with technology conglomerate Intel Corp. to accelerate the analyzing time of its artificial intelligence (AI)-based cardiac ultrasound software. Dia said Intel’s Open Vino toolkit will optimize the processing time of its Lvivo Seamless solution by over 40%.
Investors showed some love to French remote patient monitoring and cardiac data startup Implicity SAS, contributing $23 million to the company’s series A financing round. New investors Crédit Mutuel Innovation and Bpifrance led the round with support from BNP Paribas Development and returning seed investors Serena, Xange and Karista.
Blackrock Neurotech LLC has acquired spatial computing software startup Mindx Corp. to advance full-stack brain-computer interface (BCI) products. As part of the transaction, Mindx’s augmented reality (AR) and artificial intelligence (AI) technology will be integrated with Blackrock’s BCI hardware.
Health tech firm Qure.ai Technologies Private Ltd. has secured a $40 million investment from investors including Novo Holdings and Healthquad to expand its portfolio of automated artificial intelligence (AI)-based imaging diagnostics. The company’s suite of technologies incorporates deep learning and AI to interpret radiology images such as X-rays, CTs, and ultrasounds in less than a minute.