{"id":29360,"date":"2025-09-12T15:24:13","date_gmt":"2025-09-12T15:24:13","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=29360"},"modified":"2025-09-12T17:16:35","modified_gmt":"2025-09-12T17:16:35","slug":"ai-matches-dermatologists-in-skin-cancer-assessments-study-finds","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/ai-matches-dermatologists-in-skin-cancer-assessments-study-finds\/","title":{"rendered":"AI Matches Dermatologists in Skin Cancer Assessments, Study Finds"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">A new study from the University of Gothenburg shows that AI can assess the aggressiveness of squamous cell carcinoma in skin cancer as accurately as experienced dermatologists. <\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>A recent study led by the University of Gothenburg has shown that a simple artificial intelligence model can perform on par with experienced dermatologists in assessing the aggressiveness of squamous cell carcinoma, a common form of skin cancer. This discovery could herald a new era in cancer diagnosis and treatment, potentially streamlining the process and ensuring timely interventions.<\/p>\n\n\n\n<p>More than 10,000 Swedes are diagnosed with squamous cell carcinoma each year, making it the second most common form of skin cancer in the country after basal cell carcinoma. The disease typically develops in sun-exposed areas like the head and neck, often due to prolonged UV radiation exposure.<\/p>\n\n\n\n<p>Lead researcher Sam Polesie, an associate professor of dermatology at the University of Gothenburg, described the nature of squamous cell carcinoma as a result of cumulative UV radiation, affecting fair-skinned adults significantly. <\/p>\n\n\n\n<p>\u201cThis type of cancer, which is a result of mutations of the most common cell type in the top layer of the skin, is strongly linked to accumulated UV radiation over time. It develops in sun-exposed areas, often on skin already showing signs of sun damage, with rough scaly patches, uneven pigmentation and decreased elasticity,\u201d Polesie, who is also a practicing dermatologist at Sahlgrenska University Hospital, said in a news release.<\/p>\n\n\n\n<p>Diagnosing squamous cell carcinoma is generally straightforward, but preoperative assessments to determine tumor aggressiveness are more challenging. Aggressive tumors require prompt surgical intervention with wider margins, while less aggressive ones can be managed with simpler procedures.<\/p>\n\n\n\n<p>Traditionally, preoperative punch biopsies for suspected squamous cell carcinoma are not routine in many countries, including Sweden. Instead, surgeries are performed based on clinical suspicion, with the excised specimens later analyzed histopathologically. This practice underscores the need for non-invasive assessment methods, such as AI-based image analysis.<\/p>\n\n\n\n<p>The research team trained their AI system on 1,829 clinical close-up images of confirmed squamous cell carcinoma cases. They then tested the AI model on 300 images, comparing its performance to that of seven experienced dermatologists. <\/p>\n\n\n\n<p>The results, <a href=\"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666328725000811\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the Journal of the American Academy of Dermatology International, indicated that the AI\u2019s performance was almost identical to that of the dermatologists.<\/p>\n\n\n\n<p>Interestingly, while the AI model\u2019s assessments were nearly indistinguishable from the experts, agreement among the individual dermatologists was only moderate. This discrepancy highlights the complexity of the task and the potential for AI to bring consistency to the diagnostic process.<\/p>\n\n\n\n<p>The study also pinpointed two clinical features \u2014 ulcerated and flat skin surfaces \u2014 as indicators of more aggressive tumor growth. Such tumors were more than twice as likely to be categorized into the higher levels of aggressiveness.<\/p>\n\n\n\n<p>AI has generated significant interest in skin cancer care in recent years. However, its practical impact in health care has been limited thus far, according to Pelosie. He stresses the need for clearly defined application areas where research can deliver real value for Swedish health care.<\/p>\n\n\n\n<p>\u201cWe believe that one such application area could be the preoperative assessment of suspected skin cancers, where more nuanced conclusions can influence decisions. The model we\u2019ve developed needs further refinement and testing, but the way forward is clear &#8212; AI should be integrated where it actually adds value to decision-making processes within healthcare,\u201d Polesie added.<\/p>\n\n\n\n<div style=\"height:14px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source: <\/strong><a href=\"https:\/\/www.gu.se\/en\/news\/equivalent-outcomes-when-ai-and-dermatologists-assess-skin-cancers\" target=\"_blank\" rel=\"noopener\" title=\"\">University of Gothenburg<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A recent study led by the University of Gothenburg has shown that a simple artificial intelligence model can perform on par with experienced dermatologists in assessing the aggressiveness of squamous cell carcinoma, a common form of skin cancer. This discovery could herald a new era in cancer diagnosis and treatment, potentially streamlining the process and [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[169],"class_list":["post-29360","post","type-post","status-publish","format-standard","hentry","category-ai","tag-university-of-gothenburg"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"A recent study led by the University of Gothenburg has shown that a simple artificial intelligence model can perform on par with experienced dermatologists in assessing the aggressiveness of squamous cell carcinoma, a common form of skin cancer. This discovery could herald a new era in cancer diagnosis and treatment, potentially streamlining the process and&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/29360","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=29360"}],"version-history":[{"count":10,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/29360\/revisions"}],"predecessor-version":[{"id":29395,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/29360\/revisions\/29395"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=29360"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=29360"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=29360"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}