{"id":791507,"date":"2024-12-02T08:31:17","date_gmt":"2024-12-02T13:31:17","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/hologic-presents-new-research-demonstrating-how-its-breast-imaging-ai-solution-performs-similarly-across-diverse-populations\/"},"modified":"2024-12-02T08:31:17","modified_gmt":"2024-12-02T13:31:17","slug":"hologic-presents-new-research-demonstrating-how-its-breast-imaging-ai-solution-performs-similarly-across-diverse-populations","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/hologic-presents-new-research-demonstrating-how-its-breast-imaging-ai-solution-performs-similarly-across-diverse-populations\/","title":{"rendered":"Hologic Presents New Research Demonstrating How Its Breast Imaging AI Solution Performs Similarly Across Diverse Populations"},"content":{"rendered":"

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Hologic Presents New Research Demonstrating How Its Breast Imaging AI Solution Performs Similarly Across Diverse Populations<\/b><\/p>\n

Leader in Women\u2019s Health Unveils Data Underscoring Its Commitment to Reducing Bias in Breast Cancer Detection<\/i><\/p>\n

MARLBOROUGH, Mass.–(BUSINESS WIRE<\/a>)–
\nHologic, Inc. (Nasdaq: HOLX) yesterday presented new research demonstrating the performance of its Genius AI\u00ae<\/sup> Detection 2.0 software across diverse patient populations at the 110th<\/sup> Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA).<\/p>\n

This press release features multimedia. View the full release here: https:\/\/www.businesswire.com\/news\/home\/20241202326112\/en\/<\/a><\/p>\n

\"GAI<\/p>\n

GAI 2.0 (Graphic: Business Wire)<\/p>\n<\/div>\n

\nArtificial intelligence (AI) is increasingly used to aid in the diagnosis of breast cancer, as well as in predicting a patient\u2019s risk level and breast density. The creation of AI algorithms starts with the collection of large, high-quality databases of patient information and images, which are used to develop, train and test the algorithms. It\u2019s important that these databases reflect the diversity of racial and ethnic groups in the population across different regions of the United States, so the developed algorithms minimize any inherent biases that create disparities for any specific patient groups.<\/p>\n

\n\u201cClinicians across the United States have been leveraging AI solutions in breast cancer screening for many years to drive both clinical and efficiency improvements; however, it\u2019s widely understood that AI algorithms can exhibit racial disparities in a variety of applications,\u201d said Sarah M. Friedewald, MD, Vice Chair for Women\u2019s Imaging, Department of Radiology, Northwestern Feinberg School of Medicine. \u201cThis research was a critical step in increasing clinical confidence in this particular AI solution\u2019s ability to deliver results that are not materially impacted by racial bias.\u201d<\/p>\n

\nThe research, titled \u201cPerformance of a Digital Breast Tomosynthesis AI Detection Algorithm in Common U.S. Racial\/Ethnic Groups,\u201d evaluated the performance of Hologic\u2019s Genius AI Detection 2.0 solution in more than 7,500 digital breast tomosynthesis (DBT) cases from women who identified as Asian, Black, Hispanic or white. Researchers found that the measured performance of the algorithm was similar across all evaluated cohorts.1<\/sup><\/p>\n

\n\u201cWe know that significant racial disparities exist in breast cancer screening and treatment; for example, studies have shown that alarmingly, Black women in the U.S. have a 40% higher death rate2<\/sup> from breast cancer compared with white women,\u201d said Erik Anderson, President, Breast and Skeletal Health Solutions, Hologic. \u201cAs a leader in women\u2019s health, we are deeply committed to providing clinicians with effective, equitable solutions to advance the detection of breast cancer globally. A key part of that is ensuring that our customers can rely on our technology to perform effectively for all patients regardless of race, ethnicity or background.\u201d<\/p>\n

\nFurther demonstrating its leadership in breast imaging AI, Hologic is also introducing its next-generation Genius AI Detection PRO solution for use in the United States. This advanced cancer screening technology expands on Hologic\u2019s Genius AI Detection 2.0 solution by providing even greater accuracy and efficiency,3 <\/sup>giving radiologists more confidence and helping to reduce false positives.4<\/sup> This new AI assistant provides:<\/p>\n