"Artificial intelligence is around us, and it will change medicine, including ophthalmology. Come and learn about recent developments in different subfields of ophthalmology, based on AI technology!" Andrzej Grzybowski, Professor of Ophthalmology and Chair of the Department of Ophthalmology, University of Warmia and Mazury, Olsztyn, Poland, and Head of the Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznań, Poland, talks about the inspiration behind the virtual event, the impressive speaker list, and his own work in the field. When did you first decide to organize this online event; what was the inspiration behind it? I have thought about it for some time. However, the final argument for going ahead with the event was to receive the support from the Polish Ministry of Science and Education.

Mental health issues have come into a clearer focus amid the pandemic. Depression became endemic, but it still too often goes undetected. Even when it does, healthcare providers struggle to meet demand. Two women engineers -- both of whom experienced depression and had trouble finding therapy -- thought the answer might be helping medical pros detect depression. Kintsugi is a startup that wants to put technology to work on the problem.

Researchers argue that the national, centralized regulation of clinical artificial intelligence (AI) is not sufficient and instead propose a hybrid model of centralized and decentralized regulation. In an opinion piece published in PLOS Digital Health, public health researchers at Harvard note that the increase in clinical AI applications, combined with the need to adapt applications to account for differences between local health systems, creates a significant challenge for regulators. Currently, the US Food and Drug Administration (FDA) regulates clinical AI under the classification of software-based medical devices. Medical device approval is typically obtained via premarket clearance, de novo classification, or premarket approval. In practice, this usually involves the approval of a "static" model, meaning that any change in data, algorithm, or intended use after initial approval requires reapplication for approval.

GreyOrange announced an agreement with Blue Yonder to leverage their combined digital warehouse management system (WMS) and order management system (OMS) solutions to speed up fulfillment modernization for joint customers. Together, GreyOrange and Blue Yonder provide the broadest range of options for businesses focused on fulfillment as a competitive edge. Real-time orchestration and management of entire robotic fleets enable substantial increases in fulfillment throughput and accuracy across the ecosystem. "Blue Yonder's warehouse management and order management solutions are recognized by industry analysts as best-in-class and the brands they serve are market leaders," said Lesley Simmonds, vice president, global business development and alliances, GreyOrange. "We are looking forward to bringing the powerful combination of software and robots in our fulfillment platform and Blue Yonder's warehouse management and order management solutions to companies that want to use modern fulfillment as a strategic advantage that dramatically improves customer service as well as cost-efficiency."

Pharmaceutical manufacturers are increasingly interested in the tenets of Industry 4.0, including the use of digital twins to simulate, test and optimize manufacturing processes on a computer before using them in production, according to technology advisory firm ABI Research. It projects spending by pharmaceutical manufacturers on data analytics tools--including the digital twin -- to grow by 27% over the next seven years, to reach $1.2 billion in 2030. As with other manufacturers, pharmaceutical makers plan to use the digital tools to boost productivity and to track their operations. Toronto-based Basetwo recently moved into this market with its software-as-a-service (SaaS) artificial intelligence (AI) platform. Today, the year-old company announced an upcoming $3.8 million seed financing round led by Glasswing Ventures and Argon Ventures.

I sat in a dark room, eyes closed, with a device strapped to my head that looked like a futuristic bike helmet. For 10 minutes, while I concentrated on not accidentally opening my eyes, the prongs sticking out of this gadget and onto my scalp measured a health marker I never thought to assess: my cognitive health. When I booked my brain wave recording (also known as electroencephalography, or EEG), I expected to pull up to an office park with medical clinic vibes, but instead my GPS led me to an ocean-view storefront decorated like a cross between a surf shop and a luxury spa, with a sign in the window promising "Mental Wellness, Reimagined." Located in Cardiff-by-the-Sea, a wealthy coastal town north of San Diego, Wave Neuroscience promises to help your brain perform better with a noninvasive treatment that uses magnets on the brain. We're talking mental clarity, improved focus and concentration, and even a shift in mood.

The more recent of these came in 2020 for a machine learning algorithm that can analyze non-contrast brain CT scans and pinpoint early signs of …

This partnership will help health systems address the increasing volume of medical images and the worldwide radiologist labor shortage. Integration of Boneview into Aidoc's AI platform will give many more clinicians access to a tool to help them identify fractures in limbs, pelvis, thoracic and lumbar spine, and rib cage. Aidoc's end-to-end AI platform already includes numerous third-party AI vendors including Imbio, Riverain, Subtle, Icometrix and ScreenPoint. Over 152 million X-rays are performed every year in the US. Although there are about 37,000 radiologists in the US, they are not evenly distributed.

RapidAI's newly cleared artificial intelligence tool automatically analyzes CT pulmonary angiograms to detect signs of pulmonary embolism, …

After months of rumors, Google announced its own smartwatch, called the Pixel Watch, will be coming this fall. Although the tech giant has supported smartwatches through its wearable operating system and completed its acquisition of Fitbit last year, this is Google's first branded smartwatch. The Pixel Watch will have a circular, domed design made with recycled stainless steel and customizable bands. Even though the watch also has plenty of features not concerned with health tracking, Rick Osterloh, Google's senior vice president of devices and services, teased the Pixel Watch's "deep integration" with Fitbit that will include heart rate and sleep tracking as well as workout metrics users can measure against their goals. Meanwhile, Google is entering a crowded market for health-tracking wearables, with competitors like Apple, Amazon, Samsung, Withings and Garmin.