{"id":10641,"date":"2025-01-09T18:06:19","date_gmt":"2025-01-09T18:06:19","guid":{"rendered":"https:\/\/www.watanserb.com\/en\/?p=10641"},"modified":"2025-01-09T18:06:19","modified_gmt":"2025-01-09T18:06:19","slug":"ai-boosts-breast-cancer-detection-accuracy-in-real-world-screening","status":"publish","type":"post","link":"https:\/\/www.watanserb.com\/en\/2025\/01\/09\/ai-boosts-breast-cancer-detection-accuracy-in-real-world-screening\/","title":{"rendered":"AI Boosts Breast Cancer Detection Accuracy in Real-World Screening"},"content":{"rendered":"

Watan<\/em>–<\/strong>Researchers have found that using artificial intelligence (AI) in breast cancer screening increases the chances of detecting the disease in what they claim is the first real-world test of this approach.<\/p>\n

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Many studies have suggested that AI could help medical professionals detect cancer\u2014whether by identifying abnormal growths in CT scans or signs of breast cancer in mammograms.<\/p>\n

However, many of these studies are retrospective, meaning AI wasn\u2019t initially involved, while prospective trials often have limited sample sizes. Larger studies may not accurately reflect real-world application.<\/p>\n

Now, researchers say they have tested AI in a nationwide screening program for the first time, demonstrating its advantages in real-world settings.<\/p>\n

Professor Alexander Katelnik, one of the study\u2019s authors from the University of L\u00fcbeck in Germany, stated, \u201cWe can improve detection rates without increasing harm to women participating in breast cancer screening.\u201d He added that this approach could also reduce the workload of radiologists.<\/p>\n

\"Cancer
Artificial intelligence screening<\/figcaption><\/figure>\n

Katelnik and his colleagues analyzed data from 461,818 women in Germany who underwent breast cancer screening between July 2021 and February 2023 as part of a national program targeting asymptomatic women aged 50 to 69.<\/p>\n

All women were independently screened by two radiologists. However, for 260,739 of them, at least one expert used an AI tool for support.<\/p>\n

The AI tool not only categorizes scans it deems non-suspicious as \u201cclearly normal\u201d but also issues a \u201csafety net\u201d alert when a radiologist judges a suspicious scan as non-suspicious. In such cases, the tool highlights the area of the scan it considers worth reviewing.<\/p>\n

In total, 2,881 women in the study, published in Nature Medicine<\/em>, were diagnosed with breast cancer. Detection rates were 6.7% higher in the AI-supported group. After adjusting for factors such as participants\u2019 ages and radiologists\u2019 expertise, researchers found this difference rose to 17.6%, with an additional cancer case detected per 1,000 women screened using AI.<\/p>\n

The recall rate for further investigation after suspicious findings was nearly identical between groups.<\/p>\n

\u201cIn our study, we achieved a higher detection rate without increasing false positives. This is a better outcome with the same harm,\u201d Katelnik said.<\/p>\n

The team noted that the AI tool\u2019s \u201csafety net\u201d was triggered 3,959 times in the AI-supported group, leading to 204 cancer diagnoses. Without the safety net, 20 cancer cases would have been missed.<\/p>\n

Stefan Bank, co-author and co-founder of Vara, the company behind the AI tool, highlighted that the technology sped up radiologists\u2019 review of scans labeled \u201cnormal.\u201d He added that even if these scans weren\u2019t reviewed by experts, the overall breast cancer detection rate would be higher, with fewer recalls compared to not using the tool.<\/p>\n

\"Breast
AI breast cancer diagnoses may reduce disparity in women’s mortality<\/figcaption><\/figure>\n

Stephen Duffy, a professor emeritus in cancer screening at Queen Mary University of London, who was not involved in the study, called the findings reliable and impressive.<\/p>\n

\u201cThere\u2019s particular interest in the UK in whether AI combined with a single radiologist can safely replace double-reading by two radiologists. The sooner we confirm these results definitively, the better,\u201d he said.<\/p>\n

Dr. Christina Lang from Lund University noted that the study adds to growing evidence of AI\u2019s potential benefits in mammography. However, she expressed concerns about the significant increase in detected cases of localized cancers, which may grow slowly and contribute to overdiagnosis.<\/p>\n

\u201cLong-term follow-up is essential to understand the clinical implications of integrating AI in mammography screening,\u201d Lang said.<\/p>\n

Dr. Katherine Halliday, president of the Royal College of Radiologists, emphasized the challenges facing healthcare systems, including a 29% shortage of radiologists in the UK\u2019s NHS.<\/p>\n

\u201cAny tools that enhance our accuracy and productivity are welcome,\u201d she said. \u201cHowever, while the potential benefits are substantial, so are the risks. It\u2019s crucial to implement AI in the NHS carefully, under expert supervision.\u201d<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Watan–Researchers have found that using artificial intelligence (AI) in breast cancer screening increases the chances of detecting the disease in what they claim is the first real-world test of this approach. Many studies have suggested that AI could help medical professionals detect cancer\u2014whether by identifying abnormal growths in CT scans or signs of breast cancer …<\/p>\n","protected":false},"author":1,"featured_media":10644,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[243,3347],"class_list":["post-10641","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lifestyle","tag-artificial-intelligence","tag-breast-cancer"],"yoast_head":"\nAI Boosts Breast Cancer Detection Accuracy in Real-World Screening - Watan<\/title>\n<meta name=\"description\" content=\"A groundbreaking study reveals how artificial intelligence enhances breast cancer detection rates in real-world screening programs.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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