Empowering you with AI-driven risk prediction combining mammography analysis, genetic factors, and biological data. Based on research from over 10,000 patient studies.
10,549
Patient Dataset*
GPT-4o
Vision Analysis
3-Factor
Risk Model
*Based on peer-reviewed research: Liu et al., Scientific Reports (Nature), 2021.DOI: 10.1038/s41598-021-85899-8

Your data is not stored. Assessment runs locally.
Our assessment combines three key factors identified in clinical research to provide a comprehensive risk evaluation.
Upload your mammogram scan and our AI vision model analyzes it for potential indicators, including masses, calcifications, and density patterns.
Based on research showing 5-10% of breast cancers are linked to family history. We evaluate degree of relatives and cancer types.
Comprehensive evaluation of biological indicators including hormone receptor status, staging, and tumor characteristics.
Our risk assessment model is based on peer-reviewed research from Tianjin Medical University Cancer Institute & Hospital, analyzing data from 10,549 breast cancer patients collected between March 2014 to July 2017.
Liu L. et al. "Correlation between family history and characteristics of breast cancer" -Scientific Reports (Nature), 2021
χ² test and multiple logistic regression (IBM SPSS 20) as per original study methodology
Your information is processed instantly and not stored


Understanding your risk factors is the first step towards prevention. Start your free assessment today.
Free • No Login Required • No Data Stored
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