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Butterfly iQ Catches a Ride on SpaceX Dragon to Space

Date Time Butterfly iQ Catches a Ride on SpaceX Dragon to Space Headed for the International Space Station today, the 22nd SpaceX Dragon cargo resupply payload included a Butterfly iQ, the world’s first handheld, single-probe whole-body ultrasound system using semiconductor technology. This tool was developed by Butterfly Network, Inc. (NYSE: BFLY), an innovative digital health company that is working to democratize medical imaging and contribute to the aspiration of global health equity. The Translational Research Institute for Space Health (TRISH) at Baylor College of Medicine is supporting the product’s first user demo in space. TRISH is a consortium research institution led by Baylor College of Medicine’s Center for Space Medicine. The institute invests research dollars in cutting-edge terrestrial healthcare technologies that can protect astronaut health and performance. Recognizing the valuable information delivered by Butterfly iQ, a potential game-changer for space he

Butterfly gets license to sell iQ+ scanners in Canada

Handheld scanner iQ+ from point-of-care ultrasound developer Butterfly Network has been approved for a class III medical device license in Canada.

Artificial Intelligence (AI) in Medical Diagnostics Market worth $3,868 million by 2025

Artificial Intelligence (AI) in Medical Diagnostics Market worth $3,868 million by 2025 iCrowd Newswire According to the new market research report by Component (Software, Service), Application (In Vivo, Radiology, OBGY, MRI, CT, Ultrasound, IVD), End User (Hospital, Diagnostic Laboratory, Diagnostic Imaging Center) – Global Forecast to 2025″, published by MarketsandMarkets™, the global AI in Medical Diagnostics Market is projected to reach USD 3,868 million by 2025 from USD 505 million in 2020, at a CAGR of 50.2% during the forecast period. Browse in-depth TOC on 147 – Tables35 – Figures172 – Pages The Growth in this Artificial Intelligence in medical diagnostics market is primarily driven by government initiatives to increase the adoption of AI-based technologies, increasing demand for AI tools in the medical field, growing focus on reducing the workload of radiologists, influx of large and complex datasets, growth in funding for AI-based start-ups, and the gro

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