Results


NIH Clinical Center provides one of the largest publicly available chest x-ray datasets to scientific community

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The dataset of scans is from more than 30,000 patients, including many with advanced lung disease. The NIH Clinical Center recently released over 100,000 anonymized chest x-ray images and their corresponding data to the scientific community. The release will allow researchers across the country and around the world to freely access the datasets and increase their ability to teach computers how to detect and diagnose disease. Ultimately, this artificial intelligence mechanism can lead to clinicians making better diagnostic decisions for patients. NIH compiled the dataset of scans from more than 30,000 patients, including many with advanced lung disease.


Artificial Intelligence (AI) in Healthcare Market Expected to Reach $22,790 Million by 2023, Globally

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Increase in usage & application of AI systems is expected to improve patient outcomes and maintain electronic health records (EHR) & patient records to boost the market growth. According to Sriram Radhakrishnan, Team Lead, Healthcare at Allied Market Research, "Different interventions ranging from maintenance of patient records & electronic health records (EHR) to application in surgical procedures are gradually incorporating artificial intelligence, thereby revolutionizing healthcare and clinical settings." Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions."


Artificial Intelligence in Healthcare Market to Grow at a CAGR of 48% by 2023: Driven by the Rise in Adoption Rate of AI Systems - Research and Markets

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DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Healthcare Market by Offering - Global Opportunity Analysis and Industry Forecast, 2017-2023" report has been added to Research and Markets' offering. The market growth is driven by rise in adoption rate of AI systems and delete technological advancements in the AI field. In addition, the ability of these systems to improve patient outcomes, increase in adoption of precision medicine, and increase in need for coordination between healthcare workforce & patients are expected to fuel the market growth. Increase in usage & application of AI systems is expected to improve patient outcomes and maintain electronic health records (EHR) & patient records to boost the market growth.


Why isn't IBM's Watson supercomputer making money?

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A scathing report from investment bank Jefferies claims that from an earnings per share perspective "it seems unlikely to us under almost any scenario that Watson will generate meaningful earnings results over the next few years". While exact figures for Watson aren't given, Jefferies pulled together a range of information, including market research data and public filings, to build financial models predicting Watson's future prospects. "Watson services are offered on either a subscription or a pay-per-use basis and everyone can get started for free," an IBM spokesperson told WIRED. "Watson is clearly part of IBM's Strategic Imperatives, whose figures are reported," an IBM spokesperson told WIRED when quizzed on whether the supercomputer is making any money.


Artificial Intelligence in Healthcare is expected to reach USD 7,988.8 million by 2022

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Growing usage of big data in healthcare industry and imbalance between health workforce and patients is expected to drive the growth of the AI in healthcare market The artificial intelligence (AI) in healthcare market was valued at USD 667.1 million in 2016 and is expected to reach USD 7,988.8 million by 2022, at a CAGR of 52.68% between 2017 and 2022. The growth of this market is driven by the growing usage of Big Data in healthcare industry, ability of AI to improve patient outcomes, imbalance between health workforce and patients, reducing the healthcare costs, growing importance on precision medicine, cross-industry partnerships, and significant increase in venture capital investments in AI in healthcare domain. Owing the factors of Natural Language Processing (NLP) to handle structured and unstructured data are driving the NLP market in AI in healthcare market NLP currently holds the largest market share among the AI technologies. North America to witness the highest growth rate in the market for AI in healthcare North America is expected to be the largest and fastest-growing market for AI in healthcare during the forecast period.


Leading Institutions to Focus on Improving Type 1 Diabetes Care with Machine Learning

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Children's Mercy is advancing care for children with diabetes through the Children's Mercy Diabetes Center by providing comprehensive care for children as well as support and resources for family members. About Joslin Diabetes Center Joslin Diabetes Center is world-renowned for its deep expertise in diabetes treatment and research. Joslin is an independent, non-profit institution affiliated with Harvard Medical School, and one of only 11 NIH-designated Diabetes Research Centers in the U.S. About Cyft Based in Cambridge, Mass., Cyft partners with leading care organizations to identify opportunities to optimize care management efforts for chronic / complex, behavioral health, and dual-eligible populations. About the Helmsley Charitable Trust The Leona M. and Harry B. Helmsley Charitable Trust aspires to improve lives by supporting effective organizations in health and select place-based initiatives.


Inova Translational Medicine Institute Partners with Cloudera to Advance Genome-Based Machine Learning Initiatives and Save Lives

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PALO ALTO, Calif., June 06, 2017 --Cloudera, Inc., (NYSE: CLDR), the leading provider of the modern platform for machine learning and advanced analytics built on the latest open source technologies, announced that Inova Translational Medicine Institute (ITMI), a global leading medical research institute, has deployed Cloudera Enterprise to securely analyze massive collections of clinical and genomic data at unprecedented speeds and scale for faster innovations in translational medicine research. As part of the Inova Center for Personalized Health (ICPH), ITMI's team of leading scientists, researchers, analysts and collaborators use machine learning algorithms on terabytes of clinical and genomic information to identify the genetic links to diseases. This genomic data analysis allows a bioinformatics scientist to study genomic correlations from people with conditions like arthritis, autoimmune diseases or cancer. Working with Cloudera, ITMI built a world-class bioinformatics infrastructure for the Institute's massively growing data collection of genomes paired against the clinical record.


SOPHiA AI Unlocks the Power of Exome Sequencing for Clinical Diagnostics

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SOPHiA takes exome sequencing to new heights, allowing for unmatched analytical performances to detect, annotate and pre-classify disease-related genetic variants over all protein-coding regions of the human genome. Dr. Reinhard Hiller from the Centre for Proteomic and Genomic Research Artisan Biomed Laboratory based in Cape Town, South Africa, explained how WES helps save precious time and resources, "Sophia Genetics' Whole Exome Solution (WES) serves as an excellent benchmark for our laboratory as it detects and validates a more comprehensive variant list. Using AI and leveraging knowledge-sharing to create a collective intelligence, Sophia Genetics continues its mission to democratize Data-Driven Medicine. With faster, more affordable, and more accurate results, the AI-powered exome solutions by Sophia Genetics represent the next frontier in Data-Driven Medicine, and the most efficient diagnostics tool for clinicians faced with unclear phenotypic data.


ACR Data Science Institute to Guide Artificial Intelligence Use in Medical Imaging - American College of Radiology

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WASHINGTON – Launched today, the American College of Radiology (ACR) Data Science Institute (DSI) will work with government, industry and others to guide and facilitate the appropriate development and implementation of artificial intelligence (AI) tools to help radiologists improve medical imaging care. "Patients will benefit most from artificial intelligence if radiologists serve a leading role in guiding the technologies that best enhance medical imaging diagnosis and treatment," said James A. "The ACR Data Science Institute will create, gather, manage and integrate AI knowledge as these tools emerge to improve patient care." About the American College of Radiology The American College of Radiology (ACR), founded in 1924, is a professional medical society dedicated to serving patients and society by empowering radiology professionals to advance the practice, science and professions of radiological care.


NarrativeDx Builds Leading AI Platform for Patient Experience, Secures Series A Funding for Continued Growth

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"NarrativeDx has built a one-of-a kind analytics engine for narrative patient experience data," said Senem Guney, PhD, Founder and Chief Experience Officer, NarrativeDx. About NarrativeDx NarrativeDx, based in Austin, TX, is the artificial intelligence platform for patient experience. Our natural language processing and machine learning provides actionable insights from patient comments to improve their institution's patient experience, drive patient referrals, increase hospital revenue, and boost hospital reputations. For more information, please visit www.cultivationcapital.com About HealthX Ventures HealthX Ventures is a digital healthcare-focused venture capital fund that supports early/seed stage, high-growth companies in all areas of digital health, including companies who are making healthcare safer, more efficient and more affordable.