Objective: We explored the association of age, obesity and marital status with Breast Imaging Reporting and Data System (BI-RADS) category distribution in women, using retrospective mammography data ...

为解决乳腺 X 线摄影诊断假阳性 / 阴性率高、BI-RADS 0/3-4 分类临床决策难题，研究人员开发多视图多层级卷积神经网络 AI 系统（AIS）。在亚洲人群数据中，AIS 诊断恶性肿瘤 AUC 达 0.933-0.995，显著优化 BI-RADS 分层，为临床提供新辅助工具。 乳腺癌是威胁女性健康的 ...

Results: MobileNet with 224 × 224 input achieved the highest AUC (0.924, 95% CI: 0.910–0.938) and accuracy (87.3%) outperforming senior US (AUC: 0.820, accuracy: 79.1%) and mammography doctors (AUC: 0 ...

The outputs of the model include a mammogram risk score (MRS), the probability of 5-year breast cancer onset, and relative risk for each woman that can be used for risk calibration (see Fig. 1).

F or millions of women, the words "you have dense breasts" can feel both vague and unsettling-especially when it comes after ...

Clairity Breast analyzes subtle patterns in screening mammograms linked to future breast cancer risk, generating a validated ...

Mammography remains standard for screening ... offering MRI-like accuracy for invasive lobular carcinomas and occult lesions. BI-RADS Classification: Standardizes reporting and risk stratification ...

Abstract: This research concerned a clinical need for precise breast cancer lesion characterization imaged by ultrasound sequences. Using therefore BI-RADS features that would be carefully extracted, ...

AI tools are quietly reshaping Indian healthcare. From foetal ultrasound dating and high-risk-pregnancy guidance to virtual ...

Contrast-Enhanced Spectral Mammography (CESM): Combines iodine contrast with mammography to highlight tumor vascularization, offering MRI-like accuracy for invasive lobular carcinomas and occult ...