2026-10-13T05:30:49Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33809401 2026-09-15T17:23:21Z category_7 category_12 category_21 category_64 category_132 portal_5 item_type_3 month_year_09_2026

<p>Diagnostic Performance of Breast AI™ Risk Stratification Using Dichotomised Risk Categories.</p> Kathryn Malherbe (24947746) Carol A. Benn (14859595) Gerhard Botha (24947749) Medicine Cell Biology Biotechnology Cancer Infectious Diseases whereas approximately 30 variable clinical settings positive predictive value negative predictive value based clinical decision assessed using chi 2 &# 8211 129 clinical assessments 10 &# 8211 diagnostic performance metrics diagnostic accuracy metrics invasive lobular carcinoma breast ultrasound imaging differential histopathological verification 3 &# 8211 statistically significant site 8 &# 8211 invasive ductal carcinoma site observational evaluation supported ultrasound assessment prospective observational multi 1 ), ppv 8 ), specificity diagnostic evaluation ductal carcinoma ppv ), adjunctive ultrasound prospective multi histopathological diagnoses histopathological confirmation site cohort 8 ). xlink "> south africa situ cases risk patients risk classifications risk category risk categories median interval level comparisons integrating ai future comparative frequently associated findings support clinically indicated <p>Diagnostic Performance of Breast AI™ Risk Stratification Using Dichotomised Risk Categories.</p> 2026-09-15T17:23:14Z Dataset Dataset 10.1371/journal.pone.0357975.t004 https://figshare.com/articles/dataset/_p_Diagnostic_Performance_of_Breast_AI_Risk_Stratification_Using_Dichotomised_Risk_Categories_p_/33809401 CC BY 4.0