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Artificial Intelligence May Help Enterprise Imaging

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After languishing for years, enterprise imaging appears ready to enter the mainstream of health care. At least a small part of that may involve the use of artificial intelligence (AI) to make the transmission, storage, display and analysis of the many different types of images easier and more efficient. At RSNA 2019, GE Healthcare addressed the crossover of AI and enterprise imaging with the latest version of its AI-enabled Centricity Universal Viewer. Version 7 "consumes" and displays AI findings revealed by the Centricity PACS, said Veena Haravu, Senior Product Manager for Centricity PACS at GE Healthcare. This Version 7, which is pending FDA clearance, is integrated with the company's Edison Open AI Orchestrator to display the results of smart algorithms embedded in it.


RSNA 2016 in review: AI, machine learning and technology

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At RSNA 2016, the majority of significant new product announcements were modalities, not information technology. It almost seems that many radiology IT companies (or business segments) are planning to release new product introductions at HIMSS rather than at RSNA. While enterprise imaging remains the core radiology IT technology on display at RSNA, the big buzz this year was artificial intelligence and machine learning. As part of their Opening Session, Keith J. Dreyer, DO, PhD, and Robert M. Wachter, MD, discussed the good and the bad of the digital revolution in radiology. With artificial intelligence (AI) rapidly advancing thanks to events such as the ImageNet Large Scale Visual Recognition Challenge Competition, Dr. Dreyer believes AI will complement radiology and enable radiologists to become leaders in precision medicine; rather than becoming wary of AI, he said, radiology could work with AI to optimize the delivery of patient care.


Exploring new IBM technologies

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IBM Imaging AI Orchestrator is an imaging AI service that provides scalable access to proven AI applications without disruption to current workflows. It improves the management of imaging worklists, and returns a consolidated results report directly into the PACS. Physicians can now control the experience of accessing AI insights seamlessly within the steps of their reading processes. Watson Discovery is an AI-powered intelligent search and text-analytics platform that eliminates data silos and retrieves information buried inside enterprise data. The platform uses innovative, natural language processing to uncover meaningful business insights from documents, webpages and big data. SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists.


Carestream Health to Sell Its Healthcare IT Business to Philips

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ROCHESTER, N.Y.--(BUSINESS WIRE)--Carestream Health has signed an agreement with Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, to sell its healthcare information systems (HCIS) business to Philips. Carestream's HCIS business unit provides imaging IT solutions to multi-site hospitals, radiology services providers, imaging centers and specialty medical clinics around the world. The business has developed strong customer relationships in attractive, high-growth healthcare segments and is positioned for continued growth and success. As a result of this acquisition, Philips' expanded healthcare IT business will feature Carestream's enterprise imaging platform--including best in class VNA, diagnostic and enterprise viewers, multimedia reporting, workflow orchestrator and clinical, operational and business analytics tools--as part of its broad portfolio. "We have had global success in providing radiology and enterprise imaging IT systems to help medical professionals provide quality care and enhance their operations," said Ludovic d'Aprea, Carestream's General Manager for Healthcare Information Solutions.


Imaging Technology News

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Pragmatism from cybersecurity to enterprise imaging was in vogue at the 2019 meeting of the Society of Imaging Informatics in Medicine (SIIM). Not unexpectedly, artificial intelligence accounted for much discussion amid telltale cracks in its hype. Exerting pressure was an undercurrent of practicality, bubbling up in session talks by key opinion leaders (KOLs) and from the exhibit floor, where some company representatives spoke of the continuing need for artificial intelligence (AI) to demonstrate an ROI (return on investment). This doff of the hat to practicality could be seen in the format of scientific sessions, which were kicked off by luminary speakers providing the context in which to understand research data presented in follow-on talks. Other sessions featured faculty, as in the case of one about cybersecurity hosted by J. Anthony Seibert, Ph.D., an imaging physicist on the radiology faculty of the University of California in Davis.