{"id":370100,"date":"2017-03-13T09:00:35","date_gmt":"2017-03-13T16:00:35","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=370100"},"modified":"2017-05-17T15:07:07","modified_gmt":"2017-05-17T22:07:07","slug":"democratizing-ai-improve-citizen-health","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/democratizing-ai-improve-citizen-health\/","title":{"rendered":"Democratizing AI to improve citizen health"},"content":{"rendered":"<p>By <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kenjitak\/\" target=\"_blank\"><em>Kenji Takeda<\/em><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><em>, Director, Azure for Research<\/em><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-370127\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/AI_Health_2_babyhand_blog2.jpg\" alt=\"\" width=\"1000\" height=\"487\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/AI_Health_2_babyhand_blog2.jpg 1000w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/AI_Health_2_babyhand_blog2-300x146.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/AI_Health_2_babyhand_blog2-768x374.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p>Doctors make life-saving \u2014 and life-changing \u2014 decisions every day. But how do they know that they are making the best decisions? Can artificial intelligence (AI) help?<\/p>\n<p>\u201cBefore evidence-based medicine, decision-making in health care was heavily reliant on the expertise and knowledge of the health professional, usually a doctor. What has happened in the last 20, 30 years is that the health care literature has exploded way beyond what any individual doctor could hope to keep up with,\u201d explained David Tovey, editor-in-chief at Cochrane. <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.cochrane.org\/\" target=\"_blank\">Cochrane<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> is a not-for-profit organization that creates, publishes and maintains systematic reviews of health care interventions, with more than 37,000 contributors working in 130 countries.<\/p>\n<p>The goal is to analyze the latest medical research to find the best treatments and interventions for patients and citizens. Systematic reviews bring together the best available research evidence from individual clinical trials and study data from around the world to inform the development of guidelines, individual practice decisions and national-scale health policymaking. These are rigorous and robust studies needed to provide the best advice, but they can take more than a year or two to complete. Tovey is concerned that systematic reviews, which are a painstaking process, are not used as widely as necessary. Said Tovey, \u201cThis is one of the main limitations for using systematic reviews to guide decision-making, particularly in policy areas. Policymakers increasingly want their decisions to be made in a period of weeks or months.\u201d<\/p>\n<p><iframe loading=\"lazy\" title=\"Democratizing AI to Improve Citizen Health\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/seMl7uwYj10?feature=oembed&rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Professor James Thomas at <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.ucl.ac.uk\/\" target=\"_blank\">University College London<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (UCL) first started exploring text mining a decade ago because it promised to automate the laborious process of identifying and classifying medical research reports. In 2006, the state of the art in text mining was to develop complex rules to try to analyze these reports in an intelligent way.<\/p>\n<p>But these rules-based approaches failed.<\/p>\n<p><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/community.cochrane.org\/tools\/project-coordination-and-support\/transform\" target=\"_blank\">The Cochrane Transform Project<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> is now applying AI and machine learning to analyze thousands of reports to automatically select ones to include in systematic reviews. This new approach is successfully saving weeks of monotonous work, freeing up the expert health care reviewers to spend their time and energy on high-level analysis. Thomas is using <a href=\"https:\/\/www.microsoft.com\/en-us\/cloud-platform\/cortana-intelligence-suite\" target=\"_blank\">Cortana Intelligence<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u00a0to quickly develop and deploy AI solutions in the cloud. He explained, \u201cWhat makes this particularly efficient is the fact that I can build a classifier using the studio and then just deploy it as a web service with the click of a button, without deploying a server.\u201d The flexibility and open nature of Azure Machine Learning also means his team can be flexible in their approach. Said Thomas, \u201cInitially I developed these models in R, which didn\u2019t work as well as Python. So I was able to keep the top and the bottom of the process and just swap out the machine learning section in the middle.\u201d<\/p>\n<p>The team is continuously improving the performance of the machine learning system, and engaging with more than 5,000 citizen scientists in 117 countries through the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/crowd.cochrane.org\/index.html\" target=\"_blank\">Cochrane Crowd<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> platform. \u201cCochrane Crowd has really enabled anybody who wants to get involved with producing health evidence to do so,\u201d said Anna Noel-Storr of Cochrane\u2019s Dementia Group. The Cochrane Crowd participants have screened more than 300,000 reports and 30,000 clinical trials to create a dataset to help train James\u2019 AI. The machine learning system has improved the efficiency of the crowd by more than 60 percent. Thomas is excited by how this benefits everyone. \u201cSo what we end up with is a virtuous circle whereby the AI makes the crowd more efficient, and then the crowd, by supplying more data, makes the AI more accurate.\u201d<\/p>\n<p>These services are deployed through cloud APIs to help clinical assessment groups look at the latest medical research in different specialties, from cardiology and dementia, to public health issues such as obesity, healthy eating and physical exercise. The flexibility of the Microsoft Cloud means that the researchers can quickly create customized systems tailored for each clinical assessment group. This is then made usable by researchers worldwide through the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/eppi.ioe.ac.uk\/cms\/Default.aspx?alias=eppi.ioe.ac.uk\/cms\/er4\" target=\"_blank\">EPPI-Reviewer cloud service<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, which is now running on <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/azure.microsoft.com\/en-us\/\" target=\"_blank\">Microsoft Azure<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. The AI system augments reviewers\u2019 capabilities, allowing them to focus on understanding data instead of the monotonous work of sifting through thousands of research studies by hand.<\/p>\n<p>The system is now being used by the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.nice.org.uk\/\" target=\"_blank\">National Institute for Health and Care Excellence<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> in the U.K., which provides health care delivery guidance across the U.K. National Health Service (NHS) for more than 65 million people. It will directly speed up adoption of new health care interventions at national and international scale, for example, by facilitating the clearing of new drugs for widespread use across the NHS. The result is that decisions about which interventions are best will be faster and more reliable, thanks to the intelligent cloud.<\/p>\n<p>Noel-Storr is excited by the prospect of democratizing AI for health, and how it can augment what people can achieve. \u201cI think what excites me most about this work is that it is about exploring where those boundaries lie between what the machine can do and what the human can do\u2026. so that we can then better direct human effort where it\u2019s most needed.\u201d<\/p>\n<p><strong>Learn more <\/strong><\/p>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/community.cochrane.org\/tools\/project-coordination-and-support\/transform\">Cochrane Project Transform<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/crowd.cochrane.org\/index.html\">Cochrane Crowd project<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/eppi.ioe.ac.uk\/cms\/Default.aspx?tabid=53\">EPPI-Centre at University College London<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/server-cloud\/cortana-intelligence-suite\/overview.aspx\">Cortana Intelligence<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/open.microsoft.com\/\">Open source at Microsoft<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/democratizing-ai-in-health.azurewebsites.net\/\">Democratizing AI in Health<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/microsoft-azure-for-research\">Microsoft Azure for Research<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/azure.microsoft.com\/en-us\/\">Microsoft Azure<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>By Kenji Takeda, Director, Azure for Research Doctors make life-saving \u2014 and life-changing \u2014 decisions every day. But how do they know that they are making the best decisions? Can artificial intelligence (AI) help? \u201cBefore evidence-based medicine, decision-making in health care was heavily reliant on the expertise and knowledge of the health professional, usually a [&hellip;]<\/p>\n","protected":false},"author":39507,"featured_media":378950,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"categories":[194467,205399,197938],"tags":[233426,233429,195775],"research-area":[13556],"msr-region":[256048],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-370100","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artifical-intelligence","category-azure","category-case-studies","tag-cochrane","tag-cortana-intelligence","tag-health-care","msr-research-area-artificial-intelligence","msr-region-global","msr-locale-en_us"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[199561,199565],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[204065,204068],"related-groups":[],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"<img width=\"655\" height=\"280\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/fingertips655x280.jpg\" class=\"img-object-cover\" alt=\"democratizing AI to improve citizen health\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/fingertips655x280.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/fingertips655x280-300x128.jpg 300w\" sizes=\"(max-width: 655px) 100vw, 655px\" \/>","byline":"","formattedDate":"March 13, 2017","formattedExcerpt":"By Kenji Takeda, Director, Azure for Research Doctors make life-saving \u2014 and life-changing \u2014 decisions every day. But how do they know that they are making the best decisions? Can artificial intelligence (AI) help? \u201cBefore evidence-based medicine, decision-making in health care was heavily reliant on&hellip;","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/370100"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/39507"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=370100"}],"version-history":[{"count":7,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/370100\/revisions"}],"predecessor-version":[{"id":370139,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/370100\/revisions\/370139"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/378950"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=370100"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=370100"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=370100"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=370100"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=370100"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=370100"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=370100"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=370100"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=370100"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=370100"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=370100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}