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Science-Backed

Research

Our technology is built on rigorous scientific research and validated by leading medical institutions.

Our Approach

At SoftCheck, we believe that health technology must be grounded in rigorous science. Our AI models are developed in collaboration with leading oncologists, radiologists, and researchers.

Every algorithm update goes through extensive validation using diverse, representative datasets to ensure accuracy across all populations.

Peer-Reviewed

All research published in leading journals

FDA Cleared

Our AI analysis has received regulatory approval

Continuous Improvement

Models updated with latest research findings

Publications

AI-Assisted Breast Self-Examination: A Validation Study

Chen, S., Okonkwo, M., et al.

Journal of Digital Health · 2026

Mobile Health Applications for Breast Cancer Early Detection

Williams, J., Sharma, P., et al.

Lancet Digital Health · 2025

Deep Learning Models for Breast Tissue Analysis

Sharma, P., Williams, J., et al.

Nature Medicine AI · 2025

Patient Engagement in Digital Breast Health Monitoring

Chen, S., et al.

JMIR mHealth and uHealth · 2024

Research Partners

Stanford University Medical Center
Mayo Clinic
Johns Hopkins Medicine
Cleveland Clinic
MD Anderson Cancer Center
Memorial Sloan Kettering