{"id":394759,"date":"2026-04-16T06:19:08","date_gmt":"2026-04-16T06:19:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/394759\/"},"modified":"2026-04-16T06:19:08","modified_gmt":"2026-04-16T06:19:08","slug":"ai-can-identify-people-at-risk-of-melanoma-years-before-diagnosis-study-finds","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/394759\/","title":{"rendered":"AI can identify people at risk of melanoma years before diagnosis, study finds"},"content":{"rendered":"<p>Artificial intelligence can identify those at higher risk of developing melanoma within five years, a <a href=\"https:\/\/medicaljournalssweden.se\/actadv\/article\/view\/44610\/53425\" target=\"_blank\" rel=\"noreferrer nofollow noopener\">new study<\/a> has found. <\/p>\n<p>          <img decoding=\"async\" class=\"c-ad__placeholder__logo\" src=\"https:\/\/static.euronews.com\/website\/images\/logos\/logo-euronews-stacked-outlined-72x72-grey-9.svg\" width=\"72\" height=\"72\" alt=\"\" loading=\"lazy\"\/><br \/>\n          ADVERTISEMENT<\/p>\n<p>          <img decoding=\"async\" class=\"c-ad__placeholder__logo\" src=\"https:\/\/static.euronews.com\/website\/images\/logos\/logo-euronews-stacked-outlined-72x72-grey-9.svg\" width=\"72\" height=\"72\" alt=\"\" loading=\"lazy\"\/><br \/>\n          ADVERTISEMENT<\/p>\n<p>Using AI, researchers from the University of Gothenburg in Sweden have identified small groups within the population that have a significantly higher risk of developing the serious, often fast-spreading form of skin cancer over the next five years.<\/p>\n<p>\u201cOur study shows that data which is already available within healthcare systems can be used to identify individuals at higher risk of melanoma,\u201d said Martin Gillstedt, a doctoral student at the University of Gothenburg.<\/p>\n<p>\u201cThis is not a form of decision support that is currently available in routine healthcare, but our results give a clear signal that registry data can be used more strategically in the future,&#8221; Gillstedt explained.<\/p>\n<p>The research team analysed clinical data from all Swedish adults who had been living in the country between 2005 and 2014, or some 6 million people. <\/p>\n<p>They fed AI models clinical information beyond the usual age and gender, including medication history and other diagnoses. <\/p>\n<p>The most advanced AI model could distinguish individuals who subsequently developed melanoma from those who did not in about 73% of cases, compared with about 64% when only age and gender were used.<\/p>\n<p>By combining diagnoses, medication, and sociodemographic data, the researchers were also able to pinpoint small, high-risk groups for whom the risk of developing melanoma within five years was around 33%, the authors noted.<\/p>\n<p>Early detection key<\/p>\n<p>The main cause of melanoma is ultraviolet light, which naturally comes from the sun and is artificially produced in sunbeds.<\/p>\n<p>It can spread to other parts of the body, and once it has spread, the survival rate drops significantly, which is why early detection is crucial.<\/p>\n<p>It is estimated that skin melanoma accounted for 4% of all new cancer diagnoses in the EU in 2020 and for 1.3% of all deaths due to cancer. <\/p>\n<p>This made it the sixth most frequently occurring cancer and one of the 20 most frequent causes of cancer death, according to the European Commission\u2019s Joint Research Centre. <\/p>\n<p>By identifying people with higher predicted risk, clinicians can prioritise follow-up and invite these individuals via mail or digital outreach for screening appointments, the authors wrote. <\/p>\n<p>\u201cOur analyses suggest that selective screening of small, high-risk groups could lead to both more accurate monitoring and more efficient use of healthcare resources,\u201d lead author of the study Sam Polesie said. <\/p>\n<p>The results show that AI models trained on large amounts of registry data could become key for more personalised risk assessments and future screening strategies. <\/p>\n<p>However, the researchers emphasise that more research and policy decisions are needed before the method can be introduced into routine healthcare. <\/p>\n","protected":false},"excerpt":{"rendered":"Artificial intelligence can identify those at higher risk of developing melanoma within five years, a new study has&hellip;\n","protected":false},"author":2,"featured_media":394760,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[345,165,163,85,46,1717],"class_list":{"0":"post-394759","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-health","8":"tag-ai","9":"tag-cancer","10":"tag-health","11":"tag-il","12":"tag-israel","13":"tag-medical-research"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/394759","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=394759"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/394759\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/394760"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=394759"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=394759"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=394759"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}