{"id":38219,"date":"2026-06-02T14:16:50","date_gmt":"2026-06-02T08:31:50","guid":{"rendered":"https:\/\/www.revoscience.com\/en\/?p=38219"},"modified":"2026-06-02T14:16:54","modified_gmt":"2026-06-02T08:31:54","slug":"ai-chest-x-rays-reveal-hidden-osteoporosis-risks","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/ai-chest-x-rays-reveal-hidden-osteoporosis-risks\/","title":{"rendered":"AI Chest X-Rays Reveal Hidden Osteoporosis Risks"},"content":{"rendered":"\n
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Taipei \u2014 Osteoporosis is a silent disease where bone loss develops gradually before fractures occur. Current clinical screening recommendations mainly focus on older women and selected high-risk groups, leaving some men, younger adults, and individuals with normal body weight completely outside routine screening pathways.\u00a0<\/p>\n\n\n\n

To close this care gap, researchers from St. Paul\u2019s Hospital and National Taiwan University demonstrated in npj Digital Medicine<\/em> that artificial intelligence (AI) can extract vital bone-health information from routine chest X-rays. <\/p>\n\n\n\n

Strikingly, the study found that more than half of the confirmed abnormal bone-density cases occurred in people with a normal body mass index (BMI). This reveals a severe diagnostic blind spot in conventional, guideline-based screening. By relying strictly on traditional criteria, healthcare systems routinely overlook healthy-weight individuals, younger adults, and men who are secretly losing bone density but remain completely off the clinical radar.<\/p>\n\n\n\n

Since chest X-rays are already universally performed during routine health examinations across Asia, this AI approach provides a practical, infrastructure-light strategy to expand opportunistic screening. It actively flags at-risk men and younger individuals outside standard guidelines without adding patient burden or cost. <\/p>\n\n\n\n

\u201cUnder Taiwan\u2019s National Health Insurance system, we often rely on strict guideline-based criteria to decide who qualifies for DXA testing,\u201d said Shu-Han Chen, MD, first author of the study, a family medicine physician, leader of the Health Management Center at St. Paul\u2019s Hospital, and an alumnus of the Graduate Institute of Health Policy and Management at National Taiwan University. <\/p>\n\n\n\n

\u201cOur findings suggest that AI-assisted chest X-ray analysis could help identify individuals who may otherwise be overlooked and who may benefit from confirmatory DXA testing.\u201d <\/p>\n\n\n\n

\u201cThis study demonstrates how artificial intelligence can transform existing healthcare workflows into scalable preventive-health strategies while supporting more equitable access to osteoporosis screening,\u201d said co-corresponding author Prof. Ray-E Chang at the Institute of Health Policy and Management at National Taiwan University. <\/p>\n","protected":false},"excerpt":{"rendered":"

Taipei \u2014 Osteoporosis is a silent disease where bone loss develops gradually before fractures occur. Current clinical screening recommendations mainly focus on older women and selected high-risk groups, leaving some men, younger adults, and individuals with normal body weight completely outside routine screening pathways.\u00a0 To close this care gap, researchers from St. Paul\u2019s Hospital and […]<\/p>\n","protected":false},"author":2,"featured_media":38220,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-38219","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest.webp",768,576,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-200x200.webp",200,200,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-675x506.webp",675,506,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest.webp",750,563,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest.webp",750,563,false],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest.webp",768,576,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest.webp",768,576,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest.webp",768,576,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-768x570.webp",768,570,true],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-600x576.webp",600,576,true],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-600x576.webp",600,576,true],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-760x490.webp",760,490,true],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-550x360.webp",550,360,true],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-95x65.webp",95,65,true],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-640x576.webp",640,576,true],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-96x96.webp",96,96,true],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2026\/06\/ai-chest-150x113.webp",150,113,true]},"author_info":{"info":["RevoScience"]},"category_info":"Health<\/a>","tag_info":"Health","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/38219","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=38219"}],"version-history":[{"count":1,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/38219\/revisions"}],"predecessor-version":[{"id":38221,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/38219\/revisions\/38221"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/38220"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=38219"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=38219"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=38219"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}