{"id":4648,"date":"2025-06-10T07:16:58","date_gmt":"2025-06-10T07:16:58","guid":{"rendered":"https:\/\/www.radisentech.com\/?post_type=news&#038;p=4648"},"modified":"2025-06-17T07:35:58","modified_gmt":"2025-06-17T07:35:58","slug":"radisen-completes-successful-ai-screening-pilot-in-portugal-to-support-lung-abnormalities-detection","status":"publish","type":"news","link":"https:\/\/www.radisentech.com\/en\/news\/radisen-completes-successful-ai-screening-pilot-in-portugal-to-support-lung-abnormalities-detection\/","title":{"rendered":"RadiSen Completes Successful AI Screening Pilot in Portugal to Support Lung Abnormalities Detection"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"694\" height=\"552\" src=\"https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/RadiSen-POC-images_2-1.png\" alt=\"\" class=\"wp-image-4676\" style=\"width:840px;height:auto\" srcset=\"https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/RadiSen-POC-images_2-1.png 694w, https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/RadiSen-POC-images_2-1-300x239.png 300w\" sizes=\"(max-width: 694px) 100vw, 694px\" \/><\/figure>\n\n\n\n<p>RadiSen is proud to announce the successful completion of a major proof-of-concept (PoC) project at the <strong>Ribeiro Sanches Pneumology Center in Lisbon, Portugal<\/strong>. This initiative, part of the <strong>\u201cInnovation for All Awards\u201d<\/strong> hosted by the <strong>Lisbon Unicorn Factory and the Government of Portugal<\/strong>, highlights RadiSen\u2019s commitment to advancing access to healthcare through AI-powered solutions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-tackling-diagnostic-challenges-with-ai\">Tackling Diagnostic Challenges with AI<\/h3>\n\n\n\n<p>Portugal\u2019s public health system is facing mounting challenges due to a shortage of radiologists and an aging healthcare workforce. To help bridge this gap, RadiSen deployed its AI-powered chest X-ray screening solution, AXIR-CX, at a specialized public health center focused on respiratory diseases\u2014particularly tuberculosis (TB) and other pulmonary conditions. <strong>The objective was to demonstrate how AI can accelerate diagnosis, reduce clinician workload, and improve access to care in underserved communities.<\/strong><\/p>\n\n\n\n<p>RadiSen\u2019s AXIR-CX is capable of detecting TB, pneumonia, and other lung diseases in approximately 10 seconds. The system is designed to be deployed both in hospitals and in remote areas via offline\/edge AI capability.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"585\" height=\"318\" src=\"https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/RadiSen-POC-images_1.png\" alt=\"\" class=\"wp-image-4654\" style=\"width:840px;height:auto\" srcset=\"https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/RadiSen-POC-images_1.png 585w, https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/RadiSen-POC-images_1-300x163.png 300w\" sizes=\"(max-width: 585px) 100vw, 585px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-poc-highlights-amp-results-march-18-may-16-2025\">PoC Highlights &amp; Results (March 18\u2013May 16, 2025):<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>426 patient scans<\/strong> processed over two months<\/li>\n\n\n\n<li><strong>Above<\/strong> <strong>96% diagnostic accuracy<\/strong><\/li>\n\n\n\n<li><strong>100% agreement rate<\/strong> in identifying normal cases\u2014freeing clinicians to focus on critical patients<\/li>\n\n\n\n<li><strong>AI report generation in just 11 seconds<\/strong>, vs. traditional 2\u20135 minutes<\/li>\n\n\n\n<li><strong>Full PACS integration<\/strong>, enabling seamless adoption into existing workflows<\/li>\n<\/ul>\n\n\n\n<p>These results confirmed that RadiSen\u2019s AI solution <strong>not only supports diagnostic consistency but also enhances triage speed and resource optimization in high-volume or low-resource settings.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1020\" height=\"765\" src=\"https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/788905.jpg\" alt=\"\" class=\"wp-image-4658\" srcset=\"https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/788905.jpg 1020w, https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/788905-300x225.jpg 300w, https:\/\/www.radisentech.com\/wp-content\/uploads\/2025\/06\/788905-768x576.jpg 768w\" sizes=\"(max-width: 1020px) 100vw, 1020px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-collaborative-innovation\">Collaborative Innovation<\/h3>\n\n\n\n<p>The PoC was made possible through close collaboration with local stakeholders, including the <strong>Korea Trade-Investment Promotion Agency (KOTRA Lisbon)<\/strong>, which facilitated regulatory and operational coordination. The successful trial has already paved the way for further partnerships and plans to integrate the AI solution into mobile screening units.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-what-s-next\">What\u2019s Next?<\/h3>\n\n\n\n<p>Following this successful pilot, RadiSen is expanding its AI deployments globally, including recent implementations in Ethiopia. The company will continue to collaborate with international health systems to <strong>scale AI-driven screening solutions that are fast, reliable, and accessible\u2014wherever they are needed most.<\/strong><\/p>\n\n\n\n<p>\u25b6\ufe0f POC Video: <a href=\"https:\/\/youtu.be\/xSobT4xB0Iw\">https:\/\/youtu.be\/xSobT4xB0Iw<\/a><br>\ud83d\udce9 Contact: <a href=\"mailto:contact@radisentech.com\">contact@radisentech.com<\/a><\/p>\n\n\n\n\n\n<p><\/p>\n","protected":false},"featured_media":4676,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false},"categories":[],"class_list":["post-4648","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>RadiSen Completes Successful AI Screening Pilot in Portugal to Support Lung Abnormalities Detection - RadiSen<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.radisentech.com\/en\/news\/radisen-completes-successful-ai-screening-pilot-in-portugal-to-support-lung-abnormalities-detection\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"RadiSen Completes Successful AI Screening Pilot in Portugal to Support Lung Abnormalities Detection\" \/>\n<meta property=\"og:description\" content=\"RadiSen is proud to announce the successful completion of a major proof-of-concept (PoC) project at the Ribeiro Sanches Pneumology Center in Lisbon, Portugal. 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