{"id":122112,"date":"2022-02-11T12:27:02","date_gmt":"2022-02-11T11:27:02","guid":{"rendered":"https:\/\/eurecat.org\/intelligencia-artificial-i-la-millora-del-diagnostic-de-malaties\/"},"modified":"2022-04-17T17:37:36","modified_gmt":"2022-04-17T16:37:36","slug":"artificial-intelligence-paves-the-way-for-better-diagnosis-of-diseases-personalised-treatment-and-preventive-medicine","status":"publish","type":"post","link":"https:\/\/eurecat.org\/en\/artificial-intelligence-paves-the-way-for-better-diagnosis-of-diseases-personalised-treatment-and-preventive-medicine\/","title":{"rendered":"Artificial intelligence paves the way for better diagnosis of diseases, personalised treatment and preventive medicine"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1424.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:0px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\" style=\"--awb-text-transform:none;\"><p>Artificial intelligence in health provides diagnostic support which helps detect diseases and injuries and predict the effectiveness of a given treatment and the evolution of the patient, thus paving the way for more preventive and personalised medicine. That\u2019s the message from the \u2018White Paper on AI applied to Health\u2019 which has just been unveiled in Barcelona by the Centre of Innovation for Data tech and Artificial Intelligence (CIDAI) to help fast-track uptake of this technology in the Catalan healthcare sector.<\/p>\n<p>The report sets out a series of proposals including enabling access to health data while maintaining privacy and security, setting up testing environments and promoting public-private innovation. Over the longer term it recommends measures to tackle resistance to change in the clinical setting, training and retaining expert talent and raising public awareness.<\/p>\n<p>The white paper additionally points to the opportunities AI affords in healthcare. They include planning and guiding surgery, monitoring and support systems, and hospital logistics and management in a scenario shaped by the shift towards preventive, predictive, personalised and participatory medicine.<\/p>\n<p>\u201cWe are moving towards a healthcare system where the absence of artificial intelligence tools will be viewed as a system shortcoming,\u201d says Dani Marco, Director General of Innovation and Digital Economy in the Catalan Government. \u201cThis white paper is a good illustration of how to bring artificial intelligence to various areas of society, in this case the healthcare sector, as part of the Catalonia.AI strategy brought in by the Government of Catalonia two years ago.\u201d<\/p>\n<p>\u201cAI techniques in the health system should be used to enhance service to the public who will get more tools to support prevention, prediction, diagnosis and treatment, thereby bolstering the 4Ps medicine model: Preventive, Predictive, Participatory and Personalised (5th P: Population),\u201d adds Gemma Craywinckel, CatSalut\u2019s director general. \u201cLikewise, we will be ensuring fairness across the region, strategic alignment of facilities, addressing global health policies and enhancing efficiency while baking in values such as transparency, safety and ethics.\u201d<\/p>\n<p>\u201cDrawing up industry white papers is one of CIDAI\u2019s core roles,\u201d notes Joan Mas, director of CIDAI and the Eurecat technology centre\u2019s Digital Division. \u201cThat\u2019s because it enables us to assess how far AI and data technologies have penetrated in key sectors for Catalonia and make recommendations to unleash technological innovation working for society.\u201d<\/p>\n<p>The paper \u201coutlines the opportunities afforded by artificial intelligence in a changing healthcare industry,\u201d points out CIDAI manager Marco Orellana. \u201cCovid-19 has had a significant impact here as it has underscored the need to plan ahead for specific situations and deliver rapid responses to improve management and the experience of practitioners and the public alike.\u201d<\/p>\n<p>The \u2018White Paper on AI applied to Health\u2019 has been drafted by a team made up of innovation consultants from the Eurecat technology centre and the CIDAI\u2019s Technical Office. It has also drawn on input from experts at the TIC Salut Social Foundation, EIT Health, the BSC, the CVC and IDEAI-UPC, and advice from specialists at Microsoft, NTT DATA, the SDG Group, the Catalan Government, Barcelona City Council and the i2CAT Foundation.<\/p>\n<p>Experts from Vall d\u2019Hebron, Parc Taul\u00ed Hospital Universitari-I3PT, Hospital del Mar, Hospital Trueta, CatSalut, Methinks and ICS-Central Catalonia have additionally contributed.<\/p>\n<p><strong>The health sector in Catalonia<\/strong><\/p>\n<p>BIOCAT, the organisation coordinating and promoting the life sciences and health sector in Catalonia, reports that the sector accounts for 7.3 percent of GDP, split into 3.5 percent in life sciences and 3.8 percent in health, and generates \u20ac19.77 billion in turnover for its businesses.<\/p>\n<p>There are over 1,200 companies in the Catalan ecosystem, including 180 in digital health, 156 suppliers and engineering firms, and 198 services and consultancy businesses. They are accompanied by 89 research institutions such as research centres, university hospitals, technology and science parks, universities, large infrastructures and technology centres.<\/p>\n<p>The \u2018Artificial Intelligence in Catalonia\u2019 report says that there are 179 companies in Catalonia operating in AI technologies, 63 percent of which are SMEs and start-ups. Their turnover comes to \u20ac1.34 billion a year and they employ 8,483 people.<\/p>\n<p>CIDAI is coordinated by Eurecat and is made up of the Catalan Government\u2019s Ministry of the Vice-Presidency and Digital Policies and Territory, Barcelona City Council, the BSC, the CVC, i2CAT, IDEAI-UPC and NTT DATA, Microsoft, the SDG Group and SAP.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":12,"featured_media":119817,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2290,429,743],"tags":[],"class_list":["post-122112","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ict","category-nutrition-and-health","category-press-notes-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Artificial intelligence paves the way for better diagnosis of diseases, personalised treatment and preventive medicine - 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