{"id":428655,"date":"2017-07-17T00:00:46","date_gmt":"2017-07-17T07:00:46","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=428655"},"modified":"2022-01-03T12:43:44","modified_gmt":"2022-01-03T20:43:44","slug":"tech-showcase-project-innereye-assistive-ai-cancer-treatment","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/tech-showcase-project-innereye-assistive-ai-cancer-treatment\/","title":{"rendered":"Tech Showcase:\u00a0Project InnerEye \u2013 Assistive AI for Cancer Treatment"},"content":{"rendered":"<p>Project InnerEye is a new AI product targeted at improving the productivity of oncologists, radiologists, and surgeons when working with radiological images. The project\u2019s main focus is in the treatment of tumors and monitoring the progression of cancer in temporal studies. InnerEye builds upon many years of research in computer vision and machine learning. It employs decision forests (as used already in Kinect and Hololens) to help radiation oncologists and radiologists deliver better care, more efficiently and consistently to their cancer patients.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Project InnerEye is a new AI product targeted at improving the productivity of oncologists, radiologists, and surgeons when working with radiological images. The project\u2019s main focus is in the treatment of tumors and monitoring the progression of cancer in temporal studies. InnerEye builds upon many years of research in computer vision and machine learning. It [&hellip;]<\/p>\n","protected":false},"featured_media":428817,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556,13562,13553],"msr-video-type":[238872],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-428655","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-research-area-medical-health-genomics","msr-video-type-faculty-summit","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/V0oYUBvkP0A","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/428655"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/428655\/revisions"}],"predecessor-version":[{"id":428811,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/428655\/revisions\/428811"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/428817"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=428655"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=428655"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=428655"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=428655"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=428655"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=428655"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}