{"id":8040,"date":"2025-07-21T19:18:49","date_gmt":"2025-07-21T16:18:49","guid":{"rendered":"https:\/\/jordan-cardiac.org\/?p=8040"},"modified":"2025-07-21T19:18:49","modified_gmt":"2025-07-21T16:18:49","slug":"ai-algorithm-cuts-radiation-exposure-by-up-to-99","status":"publish","type":"post","link":"https:\/\/jordan-cardiac.org\/en\/ai-algorithm-cuts-radiation-exposure-by-up-to-99\/","title":{"rendered":"AI Algorithm Cuts Radiation Exposure by Up to 99%"},"content":{"rendered":"<div>AI Algorithm Cuts Radiation Exposure by Up to 99%<\/div>\n<div><\/div>\n<div>Date: July 18, 2025<\/div>\n<div>Source: Health Imaging<\/div>\n<div><\/div>\n<div>Key Points:<\/div>\n<div><span> 1. Breakthrough in Medical Imaging:<\/span><\/div>\n<div><span> \u2022 Researchers at Hong Kong University of Science and Technology (HKUST) developed an AI-powered algorithm that enables 3D anatomical reconstructions using only 2\u20134 standard X-ray images. Hong Kong has active participation in APSC initiatives, including the Scientific Advisory Board and the ASPIRE Network, which focuses on regional collaboration in areas like data sharing and clinical trials.\u00a0<\/span><\/div>\n<div><\/div>\n<div><span> 2. Radiation Dose Reduction:<\/span><\/div>\n<div><span> \u2022 The new method reduces radiation exposure by 95%\u201399%, compared to traditional CT scans, making it significantly safer for patients.<\/span><\/div>\n<div><span> 3. Speed and Efficiency:<\/span><\/div>\n<div><span> \u2022 The algorithm completes the 3D imaging process in under 1 minute, facilitating faster diagnosis and surgical planning while reducing imaging costs.<\/span><\/div>\n<div><span> 4. Scan Accuracy:\u00a0<\/span><\/div>\n<div><span> \u2022 The new AI algorithm can rebuild 3D images of bones and organs using only 2 to 4 regular X-ray images.<\/span><\/div>\n<div><span> \u2022 It works almost as accurately as a CT scan \u2014 about 97% match \u2014 but with much less radiation.<\/span><\/div>\n<div><span> \u2022 These 3D bone images help doctors plan surgeries better, especially in orthopedics (bone surgery).<\/span><\/div>\n<div><span> \u2022 The technology can also support 3D printing of bone implants, helping patients who need fast or complex bone repairs.<\/span><\/div>\n<div><span> \u2022 Instead of waiting days for CT scans and manual work, the AI can make a 3D bone model in under 30 seconds.<\/span><\/div>\n<div>This means doctors can save time, reduce costs, and keep patients safer from radiation \u2014 all while getting highly accurate images of the bones they need to treat.<\/div>\n<div><span> \u2022 Full clinical implementation expected within the next year, pending safety and efficacy confirmation.<\/span><\/div>\n<div><\/div>\n<div>\ud83d\udd17 Link: <a href=\"https:\/\/www.healthimaging.com\/topics\/artificial-intelligence\/patient-radiation-exposure-reduced-algorithm\">https:\/\/www.healthimaging.com\/topics\/artificial-intelligence\/patient-radiation-exposure-reduced-algorithm<\/a><\/div>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>AI Algorithm Cuts Radiation Exposure by Up to 99% Date: July 18, 2025 Source: Health Imaging Key Points: 1. Breakthrough in Medical Imaging: \u2022 Researchers at Hong Kong University of Science and Technology (HKUST) developed an AI-powered algorithm that enables 3D anatomical reconstructions using only 2\u20134 standard X-ray images. Hong Kong has active participation in [&hellip;]<\/p>\n","protected":false},"author":145,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8040","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/8040","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/users\/145"}],"replies":[{"embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/comments?post=8040"}],"version-history":[{"count":1,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/8040\/revisions"}],"predecessor-version":[{"id":8041,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/posts\/8040\/revisions\/8041"}],"wp:attachment":[{"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/media?parent=8040"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/categories?post=8040"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jordan-cardiac.org\/en\/wp-json\/wp\/v2\/tags?post=8040"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}