{"id":474076,"date":"2024-04-04T10:05:46","date_gmt":"2024-04-04T08:05:46","guid":{"rendered":"https:\/\/innovationorigins.com\/?p=474076"},"modified":"2024-04-04T10:05:46","modified_gmt":"2024-04-04T08:05:46","slug":"ai-model-outperforms-current-skin-cancer-detection-methods","status":"publish","type":"post","link":"https:\/\/ioplus.nl\/archive\/en\/ai-model-outperforms-current-skin-cancer-detection-methods\/","title":{"rendered":"AI model outperforms current skin cancer detection methods"},"content":{"rendered":"\n

A group of scientists developed an AI model<\/a> capable of predicting skin cancer risk based on a face photograph. The Erasmus Medical Center (EMC) in Rotterdam researchers’ model outperforms current assessment methods. <\/p>\n\n\n\n

The AI algorithm’s power lies in spotting risk factors invisible to the human eye. “As a dermatologist, I pay attention to things like pigment spots, wrinkles, or knowing someone has lived in a sunny country. The algorithm picks up more features than just those classic risk factors for skin cancer,” explains dermatologist Dr. Marlies Wakkee, head of the research. <\/p>\n\n\n\n

The research team trained the model with over 2.800 photos. The doctors knew who had developed skin cancer. The algorithm automatically extracts 200 features from the photos, based on which it predicts the risk of skin cancer, either on the face or elsewhere on the body. The AI prediction proved to be more accurate than skin examination, questionnaires, and genetic research. The researchers published their findings in the scientific journal\u00a0The Lancet\u2019s eClinicalMedicine<\/a>.<\/p>\n\n\n

<\/a>
<\/div><\/div>
Less invasive for patients: using blood tests to diagnose lung cancer<\/div>
When lung cancer is suspected, a \u2018morsel\u2019 of tissue is removed and examined under the microscope. This may change in the future. <\/div><\/div><\/div>\n\n\n

Explainable AI<\/h2>\n\n\n\n

The researchers used so-called explainable AI methods. This means it\u2019s possible to understand what the algorithm bases its predictions on. This isn\u2019t always the case with AI. Often, it\u2019s a kind of black box where it\u2019s unclear how the model arrives at a particular outcome. “We visualize exactly what the 200 features are that the model bases the prediction on. When we translate them back into what is known about the risk of skin cancer, we see that the algorithm picks up features from the faces we already know are associated with skin cancer. Think of wrinkles, for example,” Wakkee explains. In addition, the model picks up less clear features to humans. “Explainable isn\u2019t the same as interpretable. We can explain what the algorithm does, but what that means in a human way isn\u2019t so obvious,” says AI expert Dr. Gennady Roshchupkin.<\/p>\n\n\n\n

Wakkee and Roshchupkin see the AI risk model as improving the prevention and awareness of diseases. The model isn\u2019t available for use in the clinic yet as the focus is on further research. The team plans to test the algorithm on larger datasets with people of different ages and ethnic backgrounds. <\/p>\n","protected":false},"excerpt":{"rendered":"

A group of scientists developed an AI model capable of predicting skin cancer risk based on a face photograph. The Erasmus Medical Center (EMC) in Rotterdam researchers’ model outperforms current assessment methods. The AI algorithm’s power lies in spotting risk factors invisible to the human eye. “As a dermatologist, I pay attention to things like […]<\/p>\n","protected":false},"author":2589,"featured_media":506601,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":""},"categories":[83907,34665],"tags":[48735,35209,34234],"location":[6763],"article_type":[36684],"serie":[],"archives":[],"internal_archives":[],"reboot-archive":[82868],"class_list":["post-474076","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bio-en","category-health","tag-erasmus-mc-en","tag-huidkanker","tag-skin-cancer","location-netherlands","article_type-news","reboot-archive-bio"],"blocksy_meta":[],"acf":{"subtitle":"Researchers at the Erasmus Medical Center have created an AI model that outperforms existing methods for predicting the risk of skin cancer.","text_display_homepage":false},"author_meta":{"display_name":"Team IO","author_link":"https:\/\/ioplus.nl\/archive\/author\/erikdevries\/"},"featured_img":"https:\/\/ioplus.nl\/archive\/wp-content\/uploads\/2024\/02\/Blood-cells.-Image-iStockSpawns.jpeg","coauthors":[],"tax_additional":{"categories":{"linked":["BIO+<\/a>","Health<\/a>"],"unlinked":["BIO+<\/span>","Health<\/span>"]},"tags":{"linked":["erasmus mc<\/a>","huidkanker<\/a>","skin cancer<\/a>"],"unlinked":["erasmus mc<\/span>","huidkanker<\/span>","skin cancer<\/span>"]}},"comment_count":"0","relative_dates":{"created":"Posted 2 years ago","modified":"Updated 2 years ago"},"absolute_dates":{"created":"Posted on April 4, 2024","modified":"Updated on April 4, 2024"},"absolute_dates_time":{"created":"Posted on April 4, 2024 10:05 am","modified":"Updated on April 4, 2024 10:05 am"},"featured_img_caption":"","series_order":"","_links":{"self":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/posts\/474076","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/users\/2589"}],"replies":[{"embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/comments?post=474076"}],"version-history":[{"count":0,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/posts\/474076\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/media\/506601"}],"wp:attachment":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/media?parent=474076"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/categories?post=474076"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/tags?post=474076"},{"taxonomy":"location","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/location?post=474076"},{"taxonomy":"article_type","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/article_type?post=474076"},{"taxonomy":"serie","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/serie?post=474076"},{"taxonomy":"archives","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/archives?post=474076"},{"taxonomy":"internal_archives","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/internal_archives?post=474076"},{"taxonomy":"reboot-archive","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/reboot-archive?post=474076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}