Publications by authors named "Helene S Solli"
Purpose To explore the stand-alone breast cancer detection performance, at different risk score thresholds, of a commercially available artificial intelligence (AI) system. Materials and Methods This retrospective study included information from 661 695 digital mammographic examinations performed among 242 629 female individuals screened as a part of BreastScreen Norway, 2004-2018. The study sample included 3807 screen-detected cancers and 1110 interval breast cancers.
View Article and Find Full Text PDFArticle Synopsis
- This study investigates how artificial intelligence (AI) risk scores assigned during previous screening mammograms correlate with later breast cancer diagnoses in women.
- Data from BreastScreen Norway (2004-2019) was analyzed, revealing that 38.3% of women with screen-detected cancers had the highest AI risk score prior to diagnosis.
- The findings suggest that using AI in mammography could enhance early cancer detection, as those with high risk scores exhibited distinct mammographic features.