[{"data":1,"prerenderedAt":172},["ShallowReactive",2],{"slug-nvidias-medical-imaging-supercomputer-opens-new-horizons-diagnostics":3},{"post":4,"relatedPosts":170,"relatedBooks":171},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":10,"modified_gmt":11,"slug":12,"status":13,"type":14,"link":15,"title":16,"content":18,"excerpt":21,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":20,"template":26,"format":27,"meta":28,"categories":29,"tags":31,"project_category":44,"contact_email_category":45,"yst_prominent_words":46,"class_list":60,"better_featured_image":80,"acf":112,"yoast_meta":113,"_links":116},17617,"2018-04-05T17:19:45","2018-04-05T15:19:45",{"rendered":9},"http:\u002F\u002Fmedicalfuturist.com\u002F?p=17617","2022-05-19T13:02:01","2022-05-19T11:02:01","nvidias-medical-imaging-supercomputer-opens-new-horizons-diagnostics","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fnvidias-medical-imaging-supercomputer-opens-new-horizons-diagnostics",{"rendered":17},"NVIDIA’s Medical Imaging Supercomputer Opens New Horizons For Diagnostics",{"rendered":19,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2018. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmagazine\">BROWSE OUR LATEST ARTICLES HERE\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>Silicon Valley-based tech giant, NVIDIA presented its new medical imaging supercomputer, CLARA at the company’s yearly GPU Tech Conference last week. The artificial intelligence-powered platform is able to take even 15-year-old ultrasound images and augment them with visualized, 3D information in order to provide better insight for diagnosticians and advance the process of finding and curing diseases.\u003C\u002Fp>\n\n\n\n\u003C!--more-->\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Using the power of artificial intelligence to modernize medical imaging\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Jensen Huang, NVIDIA’s CEO said in his keynote speech how the company is aiming for „revolutionizing modern medical imaging using computational approaches”. He explained that the starting point for the idea stems from the realization that the adoption of new technologies by medical facilities lags way behind for several reasons. There are approximately 3 million medical imaging instruments out there worldwide, and around 100 thousand ones are purchased each year.\u003C\u002Fp>\n\n\n\n\u003Cp>As a response, NVIDIA has developed a software-based solution where you can take any medical image produced via any type of machine – CT, MRI, PET scan, ultrasound, mammograms, etc. – and have a lot more insight using the power of deep learning and 3D visualization. As Kimberly Powell, VP of Healthcare in NVIDIA told The Medical Futurist, CLARA can take raw data from an ultrasound scanner and do the entire imaging pipeline virtually and very efficiently.\u003C\u002Fp>\n\n\n\n\u003Cp>She explained how NVIDIA’s experience in gaming is actually translated here into the medical field. They can apply to healthcare, especially medical imaging the underlying method NVIDIA has worked out in gaming, where they can virtualize a game console, and a mouse move to update a pixel on your screen takes only 70 milliseconds.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image alignnone wp-image-17615 size-medium\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002FCLARA.gif\" alt=\"\" class=\"wp-image-17615\"\u002F>\u003Cfigcaption>The 3D ultrasound depicts the left ventricle of the heart segmented by a fully convolutional 3D neural network. Source: NVIDIA\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Virtual medical instruments could run on CLARA already next year\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>When The Medical Futurist asked Powell about the possible time frame for applying CLARA to medical institutions, she said that many are already using bits of pieces of the technology. Start-ups are using NVIDIA’s TensorRT to make sure their artificial intelligence models are running efficiently, or the Massachusetts General Hospital in Boston uses NVIDIA’s DGX servers for AI applications.\u003C\u002Fp>\n\n\n\n\u003Cp>As parts of the technology are already in use, and its combination, CLARA is already available, she believes its application in healthcare facilities will not even take as long as three years. She optimistically said that by next year’s GPU Tech Conference in San José, “we should have lots of virtual instruments running on CLARA”.\u003C\u002Fp>\n\n\n\n\u003Cp>Medical imaging is \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedical-specialties-with-the-biggest-potential-in-the-future\u002F\">one of the fields in healthcare\u003C\u002Fa> which could benefit the most from the development of Artificial Narrow Intelligence (ANI), especially computer vision and natural language processing. The co-operation of diagnosticians, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-radiology-and-ai\u002F\">radiologists\u003C\u002Fa>, pathologists etc. and smart algorithms could greatly enhance the accuracy and the speed of finding serious conditions, thus increasing the chances of patients for survival and recovery.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"445\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fimg_6208.jpg\" alt=\"Medical imaging\" class=\"wp-image-17622\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fimg_6208.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fimg_6208-768x393.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fimg_6208-512x262.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fimg_6208-458x234.jpg 458w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fthemedicalfuturist.us8.list-manage.com\u002Fsubscribe?u=5b42ebb547c75ff669a6572d3&id=efd6a3cd08\">\u003Cb>Subscribe To The Medical Futurist℠ Newsletter\u003C\u002Fb>\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>News shaping the future of healthcare\u003C\u002Fli>\u003Cli>Advice on taking charge of your health\u003C\u002Fli>\u003Cli>Reviews of the latest health technology\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cp>\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Silicon Valley-based tech giant, NVIDIA presented its new medical imaging supercomputer, CLARA at the company’s yearly GPU Tech Conference last week. The artificial intelligence-powered platform is able to take even 15-year-old ultrasound images and augment them with visualized, 3D information in order to provide better insight for diagnosticians and advance the process of finding and curing diseases.\u003C\u002Fp>\n",6,17624,"closed","","standard",{"_acf_changed":20,"footnotes":26},[30],504,[32,33,34,35,36,37,38,39,40,41,42,43],425,628,134,861,144,862,205,275,289,304,313,372,[],[],[47,48,49,50,51,52,53,54,55,56,57,58,59],1729,1783,1801,1883,2433,1571,3201,1593,3471,1595,1683,1715,1723,[61,14,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79],"post-17617","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-technology-2","tag-medical-imaging","tag-ai","tag-supercomputer","tag-artificial-intelligence","tag-nvidia","tag-diagnostics","tag-healthcare","tag-innovation","tag-medical","tag-medicine","tag-radiology",{"id":24,"alt_text":81,"caption":26,"description":26,"media_type":82,"media_details":83,"post":5,"source_url":111},"medical imaging","image",{"width":84,"height":85,"file":86,"sizes":87,"image_meta":108},675,380,"2018\u002F04\u002Fhpcwire_medical-imaging.jpg",{"medium":88,"thumbnail":94,"large":98,"medium_old_444x250":103},{"file":89,"width":90,"height":91,"mime-type":92,"source_url":93},"hpcwire_medical-imaging-370x208.jpg",370,208,"image\u002Fjpeg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fhpcwire_medical-imaging-370x208.jpg",{"file":95,"width":96,"height":96,"mime-type":92,"source_url":97},"hpcwire_medical-imaging-150x150.jpg",150,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fhpcwire_medical-imaging-150x150.jpg",{"file":99,"width":100,"height":101,"mime-type":92,"source_url":102},"hpcwire_medical-imaging-512x288.jpg",512,288,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fhpcwire_medical-imaging-512x288.jpg",{"file":104,"width":105,"height":106,"mime-type":92,"source_url":107},"hpcwire_medical-imaging-444x250.jpg",444,250,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fhpcwire_medical-imaging-444x250.jpg",{"aperture":109,"credit":26,"camera":26,"caption":26,"created_timestamp":109,"copyright":26,"focal_length":109,"iso":109,"shutter_speed":109,"title":26,"orientation":109,"keywords":110},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Fhpcwire_medical-imaging.jpg",{"related_posts":20,"related_posts_footer":20,"cta_type":26,"cta_color":26,"subtitle":26,"related_books":20},{"yoast_wpseo_title":114,"yoast_wpseo_metadesc":115,"yoast_wpseo_canonical":15},"NVIDIA’s Medical Imaging Supercomputer Opens New Horizons For Diagnostics - The Medical Futurist","NVIDIA presented its new medical imaging supercomputer, CLARA at the company’s yearly GPU Tech Conference last week. Here's our take on it.",{"self":117,"collection":123,"about":126,"author":129,"replies":133,"version-history":136,"predecessor-version":140,"wp:featuredmedia":144,"wp:attachment":147,"wp:term":150,"curies":166},[118],{"href":119,"targetHints":120},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F17617",{"allow":121},[122],"GET",[124],{"href":125},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[127],{"href":128},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[130],{"embeddable":131,"href":132},true,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[134],{"embeddable":131,"href":135},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=17617",[137],{"count":138,"href":139},13,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F17617\u002Frevisions",[141],{"id":142,"href":143},46221,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F17617\u002Frevisions\u002F46221",[145],{"embeddable":131,"href":146},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F17624",[148],{"href":149},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=17617",[151,154,157,160,163],{"taxonomy":152,"embeddable":131,"href":153},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=17617",{"taxonomy":155,"embeddable":131,"href":156},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=17617",{"taxonomy":158,"embeddable":131,"href":159},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=17617",{"taxonomy":161,"embeddable":131,"href":162},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=17617",{"taxonomy":164,"embeddable":131,"href":165},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=17617",[167],{"name":168,"href":169,"templated":131},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[],[],1788949277800]