How does AI help doctors?<\/strong><\/h4>A standard mammogram provides four images of the breasts in different projections, which are then submitted for radiological analysis. If any image raises doubts, an additional consultation is organized. All this means that specialists are overwhelmed and patients wait a long time for results. AI can take over the process of image analysis and assign them to three categories: normal, suspicious, and ambiguous. If AI deems an image suspicious and the radiologist does not, the “safety net<\/em>” system is activated, suggesting a re-evaluation of the study. Of course, it’s important to remember that the doctor doesn’t have to follow AI’s suggestion\u2014they can also make decisions independently.<\/strong><\/strong><\/p>Fewer missed cancers, fewer unnecessary tests<\/strong><\/h4>In the group supported by AI, 17.6% more breast cancer cases were detected<\/strong> than in the group where doctors worked without technological help. Importantly, AI did not lead to an increase in false alarms. On the contrary, it helped avoid unnecessary referrals for further testing. The “safety net<\/em><\/strong>” mechanism identified 204 tumors that could have been missed.<\/p>Not everything is obvious<\/strong><\/h4>Increased cancer detection is good news, but it also raises questions. Did all the additionally detected cancers need treatment, or might some of them never have turned into a serious condition? What about the cases AI deemed suspicious but doctors dismissed? Further studies will clarify this.<\/p>
What’s next?<\/strong><\/h4>AI won’t replace doctors, but it can become their indispensable assistant. PRAIM has shown that using artificial intelligence can reduce the workload of radiologists by as much as 56.7%<\/strong>, which in turn means more time for analyzing more difficult cases. The future of breast cancer diagnostics is changing before our eyes. AI is already helping doctors detect cancers faster and more effectively. Will it become the standard in every clinic? It seems we won\u2019t have to wait long to find out.<\/p>","protected":false},"excerpt":{"rendered":"Early breast cancer diagnosis saves lives, but it can be unreliable. Can AI, by analyzing millions of cases, improve the accuracy of diagnoses and reduce unnecessary tests?<\/p>\n","protected":false},"author":184,"featured_media":9491,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_lock_modified_date":false,"footnotes":""},"categories":[783,790],"tags":[83,447,768,767],"popular":[],"difficulty-level":[36],"ppma_author":[492],"class_list":["post-11477","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-industry","category-health-medicine","tag-ai","tag-ai-4","tag-breast-cancer","tag-diagnostics","difficulty-level-easy"],"acf":[],"authors":[{"term_id":492,"user_id":184,"is_guest":0,"slug":"anita-ciesielska","display_name":"dr hab. Anita Ciesielska","avatar_url":{"url":"https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/04\/Yellow-and-Black-Simple-Professional-LinkedIn-Profile-Picture.png","url2x":"https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/04\/Yellow-and-Black-Simple-Professional-LinkedIn-Profile-Picture.png"},"first_name":"","last_name":"","user_url":"","job_title":"","description":"Ekspertka AI w nauce i edukacji | Nauczycielka akademicka | Badaczka | Wydzia\u0142 Biologii i Ochrony \u015arodowiska | Uniwersytet \u0141\u00f3dzki"}],"_links":{"self":[{"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/posts\/11477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/users\/184"}],"replies":[{"embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/comments?post=11477"}],"version-history":[{"count":1,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/posts\/11477\/revisions"}],"predecessor-version":[{"id":11478,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/posts\/11477\/revisions\/11478"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/media\/9491"}],"wp:attachment":[{"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/media?parent=11477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/categories?post=11477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/tags?post=11477"},{"taxonomy":"popular","embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/popular?post=11477"},{"taxonomy":"difficulty-level","embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/difficulty-level?post=11477"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/haimagazine.com\/en\/wp-json\/wp\/v2\/ppma_author?post=11477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}