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HTS Med donates software equipped with artificial intelligence to the A.O of Cosenza to support the diagnosis and follow-up of COVID19<\/strong><\/em><\/p>\n <\/p>\n In the last two months, the R&D team Anke <\/span> and the engineers of the HTS Med <\/span> have developed software based on artificial intelligence for the early diagnosis and follow-up of COVID19 <\/span>. The machine learning system is able to provide a response in 30 seconds starting from the image analysis of the pulmonary CT <\/span>. The effectiveness of this software has been demonstrated on numerous patients in the hospitals of Wuhan, in the province of HuBei.<\/p>\n<\/div>\n The AI \u200b\u200btechnology of ANKE <\/span>, uses big data to learn and analyze the characteristics and the typical positions of pneumonia COVID19 <\/span>, through the methodology of \"deep learning\". The system is able to read and analyze the CT <\/span> of a patient within 30 seconds of inserting the exam into the workstation. The application based on artificial intelligence, in addition to providing the immediate response on the type of pneumonia (viral from Covid-19 vs. other diseases such as bacterial pneumonia, COPD, etc.), is able to calculate the volume of lung compromise expressed in cubic cm and therefore to provide an assessment of prognosis, improvement or worsening of the patient's situation.\nThe AI \u200b\u200btechnology of ANKE <\/span>, uses big data to learn and analyze the characteristics and the typical positions of pneumonia COVID19 <\/span>, through the methodology of \"deep learning\". The system is able to read and analyze the CT <\/span> of a patient within 30 seconds of inserting the exam into the workstation. The application based on artificial intelligence, in addition to providing the immediate response on the type of pneumonia (viral from Covid-19 vs. other diseases such as bacterial pneumonia, COPD, etc.), is able to calculate the volume of lung compromise expressed in cubic cm and therefore to provide an assessment of prognosis, improvement or worsening of the patient's situation.<\/p>\n<\/div>\n Thanks to the donation by HTS Med <\/span>, the reliability rate of the software has been successfully tested on blinded anonymised patients by radiologists of the Cosenza Hospital, led by the Director of the Diagnostic Imaging Unit Prof. Dr. Alfredo Zanolini <\/span><\/p>\n HTS Med dona all\u2019A.O di Cosenza, il software dotato di intelligenza artificiale per supportare la diagnosi e il follow-up di COVID19 Negli ultimi due mesi, il team della R&D\u00a0Anke\u00a0e gli ingegneri della\u00a0HTS Med, hanno sviluppato un software basato sull\u2019intelligenza artificiale per…<\/p>","protected":false},"author":1,"featured_media":1715,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/posts\/1714"}],"collection":[{"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/comments?post=1714"}],"version-history":[{"count":3,"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/posts\/1714\/revisions"}],"predecessor-version":[{"id":1858,"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/posts\/1714\/revisions\/1858"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/media\/1715"}],"wp:attachment":[{"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/media?parent=1714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/categories?post=1714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.htsmed.com\/en\/wp-json\/wp\/v2\/tags?post=1714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"