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Huiyihuiying, a Chinese medical imaging artificial intelligence company, yesterday announced the launch of their new AI Full Cycle Health Management Cloud Platform, which consists of two separate platforms for different health concerns: the Breast Cancer AI Full Cycle Health Management Platform and the AORTIST 2.0 Aorta AI Cloud Platform. The platforms are based on AI 2.0 technology and were introduced at Chinese Congress of Radiology 2018 (CCR 2018) in the National Congress Center on November 8, 2018. The Breast Cancer AI Full Cycle Health Management Platform is committed to the whole cycle of breast cancer diagnosis and treatment, from breast molybdenum target screening to nuclear magnetic diagnosis to pathological diagnosis. The AORTIST 2.0 Aortic AI Cloud platform is to provide a process for the identification of breaks, choosing cardiac stents, and the prognosis of follow-up treatment. WHY IT MATTERS Compared to medical imaging products based on AI 1.0 technology that only cover disease screening and auxiliary diagnosis, the biggest feature of the AI 2.0 products launched by Huiyihuiying is the deep integration of AI and healthcare in three areas: value fusion, data fusion and process fusion. According to a research article, “Heading toward Artificial Intelligence 2.0” by Yunhe Pan, AI 2.0 technology will possess distinguishing features, such as the process of combining data-driven and knowledge guidance into autonomous machine learning that is both explainable and more general. The new platforms are the result of investment from Intel Investment and Core Kinetic Energy Fund. THE LARGER TREND Based on a MIT Technology Review report in March 2018, there are some 131 companies currently working on applying AI in the country’s healthcare sector. The rapid development of AI in China is also prompted by the government’s push to transform the country into a “nation of innovation.” A year ago, China’s Ministry of Industry and Information Technology (MIIT) released the Three-Year Action Plan to Promote the Development of New-Generation Artificial Intelligence Industry (2018-2020). This new plan calls for China to achieve “major breakthroughs in a series of landmark AI products” and “establish international competitive advantage” by 2020. ON THE RECORD Founder and CEO of Huiyihuiying Xiangfei Chai said, "In order to promote the development of medical imaging AI, it is necessary to integrate multi-border integration of AI enterprises, hospitals and academic institutions so that the new technology of AI will be truly landing." "We believe that the application of multi-modal image data and the full cycle coverage of disease diagnosis and treatment are the trends of AI industry development. There will be more and more diseases in the future cured by AI applications," co-founder of Huiyihuiying, Na Guo said. Focus on Artificial Intelligence In November, we take a deep dive into AI and machine learning. .jumbotron{ background-image: url("http://www.healthcareitnews.com/sites/default/files/u2556/AIJumbotron.jpg"); background-size: cover; color: white; } .jumbotron h2{ color: white; }

The Centers for Medicare and Medicaid Services will kick off 2019 looking to reward new ways artificial intelligence can be safely leveraged to for improved quality of care.

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The healthcare venture formed by Amazon, Berkshire Hathaway and JPMorgan Chase has hired insurance executive Dana Gelb Safran as head of measurement, a data-driven technology position, according to CNBC. Safran is the chief performance measurement and improvement officer and senior vice president of Enterprise Analytics, at Blue Cross Blue Shield of Massachusetts. She joins the Boston-based group headed by Dr. Atul Gawande. WHY IT MATTERS In her role at BCBS Massachusetts, Safran was responsible for leading efforts to use data, measurement, incentives, and reporting to improve the quality, outcomes, and affordability of care, according to biography information from the Medicare Payment Advisory Commission. Webinar: Women in Blockchain: Making a Difference in Healthcare through Distributed Ledger Technology Safran’s experience improving quality and outcomes while lowering the cost of care through IT is exactly how the industry views Amazon’s new venture and its potential to tackle healthcare’s greatest challenges. Data and analytics will loom large, as will offering the 1-plus million employees of the three companies a personalized approach to healthcare benefits. THE TREND Not much has been released about the new venture, which the big three formed earlier this year. It still has no official name. Gawande was named CEO in June. Safran’s background in health insurance, however, aligns with the innovations expected of Gawande, a Brigham and Women’s Hospital surgeon, author and New Yorker staff writer who, in the November 12 issue, sympathized with physicians struggling to balance EHR technology with work schedules and patient care. DANA SAFRAN: THERE'S MORE TO KNOW Safran was appointed to serve on MedPAC in 2017 in a term through April 2020. She is also an associate professor at Tufts University School of Medicine. She serves on a number of state and national advisory bodies related to healthcare quality and affordability, including the National Quality Forum Consensus Standards Approval Committee and the CMS Technical Expert Panel on the Quality Rating System. Twitter: @SusanJMorse Email the writer: susan.morse@himssmedia.com

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The Centre for Tropical Bioinformatics and Molecular Biology will take the influx of data generated in biological science to help make important discoveries and develop revolutionary techniques.

The device maker is betting the company's AI-powered security capabilities will help its enterprise customers, in healthcare and elseware, safeguard their connected devices.

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