{"id":217842,"date":"2017-06-08T23:31:44","date_gmt":"2017-06-09T03:31:44","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/the-ai-doctor-orders-more-tests-bloomberg-bloomberg.php"},"modified":"2022-11-23T06:20:00","modified_gmt":"2022-11-23T11:20:00","slug":"the-ai-doctor-orders-more-tests-bloomberg-bloomberg","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/the-ai-doctor-orders-more-tests-bloomberg-bloomberg.php","title":{"rendered":"The AI Doctor Orders More Tests &#8211; Bloomberg &#8211; Bloomberg"},"content":{"rendered":"<p><p>    Few U.S. industries are growing as fast as health care, but the    bigpublic-cloud companiesAmazon.com, Microsoft,    Googlehave struggled to crack the $3.2trillion market.    Even as hospitals and insurers collect mountains of health data    on individual Americans, most of their spending on extra data    storage is for old-school systems on their own premises,    according to researcher IDC.  <\/p>\n<p>    The public-cloud kingpins are trying to lure health-care    providers with artificially intelligent cloud services that can    act like doctors. The companies are testing, and in some cases    marketing, AI software that automates mundane tasks including    data entry; consulting work like patient management and    referrals; and even the diagnostic elements of highly skilled    fields such as pathology.  <\/p>\n<p>    Amazon Web Services, the dominant cloud provider, is processing    and storing genomics data for biotech companies and clinical    labs. No.2 Microsofts cloud unit plans to store DNA records,    and its Healthcare Next system provides automated data entry    and certain cancer treatment recommendations to doctors based    on visible symptoms. Google seems to be betting most heavily on    health-care analysis as a way to differentiate its third-place    cloud offerings. Gregory Moore, vice president for health care,    says hes readying Google Cloud for a world of diagnostics as    a service. In this world, AI couldalways be on hand to    give doctors better informationor replace them altogether.  <\/p>\n<p>    The cloud division is refining its genomics data analysis and    working to make Google Glass, the augmented-reality headgear    that consumers didnt want, a product more useful to doctors.    German cancer specialist Alacris Theranostics GmbH leans on    Google infrastructure to pair patients with drug therapies,    something Google hopes more companies will do. Health-care    systems are ready, says Moore, an engineer and former    radiologist. People are seeing the potential of being able to    manage data at scale.  <\/p>\n<p>    In November, Google researchers showed off an AI system that    scanned images of eyes to spot signs of diabetic retinopathy,    which causes vision loss among people with high sugar levels.    Another group of the companys researchers in March said they    had used similar software to scan lymph nodes. They said theyd    identified breast cancer from aset of 400 images with    89percent accuracy, a better record than most    pathologists. Last year the University of Colorado at Denver    moved its health research labs data to Googles cloud to    support studies on genetics, maternal health, and the effect of    legalized marijuana on the number and severity of injuries to    young men. Michael Ames, the universitys project director,    says he expects eventually to halve the cost of processing some    6million patientrecords.  <\/p>\n<p>    However impressive Googles AI analysis gets, the health-care    industry isnt exactly a gaggle of early adopters, says James    Wang, an analyst at ARK Investment Management LLC. They can    have the lowest error rate and the greatest algorithm, but    getting it into a hospital is a whole other problem, he says.    Most electronic medical records are likely to remain locked    inside health companies for the foreseeable future, says    Robert Mittendorff, a biotech investor at Norwest Venture    Partners. Indeed, Googles first major effort in the industry,    an online health records service, folded in 2011 because the    company couldnt convince potential customers their data would    be safe.  <\/p>\n<p>        The most important business stories of the day.      <\/p>\n<p>        Get Bloomberg's daily newsletter.      <\/p>\n<p>    Moore says things have changed since then and that hes working    with Stanford and the Broad Institute, plus about a dozen    companies in the health-care industry and defense contractor    Northrop Grumman Corp. For now, his primary focus is wrangling    more health-care companies onto Googles cloud, because the    more data he can get on Googles servers, the faster its AI    systems will learn. There literally have to be thousands of    algorithms to even come close to replicating what a radiologist    can do on a given day, he says. Its not going to be all    solved tomorrow.  <\/p>\n<p>    The bottom line: Big cloud    companiesespecially Googleare experimenting with AI    diagnostics and other systems to attract medical clients.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See more here:<\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.bloomberg.com\/news\/articles\/2017-06-08\/the-ai-doctor-orders-more-tests\" title=\"The AI Doctor Orders More Tests - Bloomberg - Bloomberg\">The AI Doctor Orders More Tests - Bloomberg - Bloomberg<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Few U.S. industries are growing as fast as health care, but the bigpublic-cloud companiesAmazon.com, Microsoft, Googlehave struggled to crack the $3.2trillion market. Even as hospitals and insurers collect mountains of health data on individual Americans, most of their spending on extra data storage is for old-school systems on their own premises, according to researcher IDC <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/the-ai-doctor-orders-more-tests-bloomberg-bloomberg.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-217842","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":"Danzig","_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/217842"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=217842"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/217842\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=217842"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=217842"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=217842"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}