首页|Norwegian Institute of Public Health Reports Findings in Artificial Intelligence (Artificial Intelligence Algorithm for Subclinical Breast Cancer Detection)
Norwegian Institute of Public Health Reports Findings in Artificial Intelligence (Artificial Intelligence Algorithm for Subclinical Breast Cancer Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting originating in Oslo, Norway, by N ewsRx journalists, research stated, “Early breast cancer detection is associated with lower morbidity and mortality. To examine whether a commercial artificial intelligence (AI) algorithm for breast cancer detection could estimate the devel opment of future cancer.” The news reporters obtained a quote from the research from the Norwegian Institu te of Public Health, “This retrospective cohort study of 116 495 women aged 50 t o 69 years with no prior history of breast cancer before they underwent at least 3 consecutive biennial screening examinations used scores from an AI algorithm (INSIGHT MMG, version 1.1.7.2; Lunit Inc; used September 28, 2022, to April 5, 2 023) for breast cancer detection and screening data from multiple, consecutive r ounds of mammography performed from September 13, 2004, to December 21, 2018, at 9 breast centers in Norway. The statistical analyses were performed from Septem ber 2023 to August 2024. Artificial intelligence algorithm score indicating susp icion for the presence of breast cancer. The algorithm provided a continuous can cer detection score for each examination ranging from 0 to 100, with increasing values indicating a higher likelihood of cancer being present on the current mam mogram. Maximum AI algorithm score for cancer detection and absolute difference in score among breasts of women developing screening-detected cancer, women with interval cancer, and women who screened negative. The mean (SD) age at the firs t study round was 58.5 (4.5) years for 1265 women with screening-detected cancer in the third round, 57.4 (4.6) years for 342 women with interval cancer after 3 negative screening rounds, and 56.4 (4.9) years for 116 495 women without breas t cancer all 3 screening rounds. The mean (SD) absolute differences in AI scores among breasts of women developing screening-detected cancer were 21.3 (28.1) at the first study round, 30.7 (32.5) at the second study round, and 79.0 (28.9) a t the third study round. The mean (SD) differences prior to interval cancer were 19.7 (27.0) at the first study round, 21.0 (27.7) at the second study round, an d 34.0 (33.6) at the third study round. The mean (SD) differences among women wh o did not develop breast cancer were 9.9 (17.5) at the first study round, 9.6 (1 7.4) at the second study round, and 9.3 (17.3) at the third study round. Areas u nder the receiver operating characteristic curve for the absolute difference wer e 0.63 (95% CI, 0.61-0.65) at the first study round, 0.72 (95% CI, 0.71-0.74) at the second study round, and 0.96 (95% CI, 0.95-0 .96) at the third study round for screening-detected cancer and 0.64 (95% CI, 0.61-0.67) at the first study round, 0.65 (95% CI, 0.62-0.68) at the second study round, and 0.77 (95% CI, 0.74-0.79) at the thi rd study round for interval cancers. In this retrospective cohort study of women undergoing screening mammography, mean absolute AI scores were higher for breas ts developing vs not developing cancer 4 to 6 years before their eventual detect ion.”
OsloNorwayEuropeAlgorithmsArtifi cial IntelligenceBreast CancerBreast Cancer ScreeningCancerCancer Detect ionDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMach ine LearningMammogramMammographyOncologyRisk and PreventionWomen’s Hea lth
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