Client/Industry
Health tech company advancing breast cancer diagnostics with HER2 detection and real-time imaging insights for oncologists.
AI-powered medical imaging software that transforms breast cancer diagnostics by enabling early and precise detection of the HER2 biomarker. Utilizing automation to accelerate diagnosis, the software enhances lab efficiency, provides real-time imaging insights, and enables oncologists to make timely, informed decisions.
Request For a DemoAI-powered breast cancer detectionDashboardPatientsAI InsightsSettings
Total Scans1,847
Clear Results1,686
Require Review161
Active Alerts8
Detection Trends
AI Detection▶ 23
Enhancements
- HER2 biomarker detection
- Early breast cancer diagnosis
- Automated lab alerts
- Real-time imaging analysis
- Patient data integration
- Digital image storage
Services Delivered
- AI-powered imaging analysis
- Real-time diagnostic insights
- Automated workflow alerts
- Cell-level quantification
The Tech Stack
- Scikit-image
- Matlab+Java
Project Overview:
Advanced Cell Analysis
Cells5,842Spots341HER2+12.4%
In 2025, approximately 316,950 women in the U.S. are projected to be diagnosed with invasive breast cancer. Despite this high incidence, many laboratories continue to rely on traditional workflows for HER2 biomarker detection, lacking digital intelligence for accurate analysis. They are inefficient and prone to error, making it challenging for oncologists to track results and make informed decisions.
AkshatMedTech Digital Health has developed an AI breast cancer detection system that enables oncologists and researchers to perform evaluations across various platforms. The system automates HER2 analysis, supports early breast cancer detection, and enables real-time imaging insights. By integrating patient data and trend visualization, it helps oncologists make faster, more accurate treatment decisions. This solution also lays the foundation for future AI applications to further enhance diagnostic precision and improve patient outcomes.
Challenges Faced
01
Lab technicians relied on paper-based workflows or fragmented web tools, making HER2 biomarker analysis time-consuming and error-prone.
Solutions
AI-Powered HER2 Detection
We replaced traditional, manual lab workflows with an AI-powered HER2 biomarker detection solution. This digital-first approach reduces manual effort, improves accuracy, and accelerates early breast cancer detection, making it easier for lab technicians and oncologists to analyze results efficiently.
AI Breast Cancer Detection
Lab Results
HER2 3+HER2 2+HER2 0HER2 1+
Real-Time Imaging Insights
The solution features advanced medical imaging software tools such as contrast enhancement and noise reduction, enabling labs to reveal subtle cellular details. Real-time analysis delivers accurate insights, improving oncologists’ ability to make timely and accurate decisions related to HER2 identification and breast cancer diagnostics.
AI Breast Cancer Detection
Real-Time Imaging Insights
Automated Workflow Assistance
Lab technicians receive automated alerts and streamlined processing instructions in AI breast cancer detection software. This ensures efficiency, ensures consistent analysis, and minimizes human error, addressing major gaps in workflow efficiency and data accuracy.
AI Breast Cancer Detection
Automated Workflow Assistance
QueuedAnalyzingAlertsReports
HER2 case #4821 needs reviewSample #4820 processedSample #4819 processed
Integrated Patient Data & Trends
Patient histories, imaging results, and lab data are centralized, allowing trend visualization and breast risk assessment. Oncologists and healthcare staff can track progression over time, enabling more personalized and effective care while digitizing results for research and future AI applications.
AI Breast Cancer Detection
Sophie TurnerPatient · 52
Trend Analysis−18%
Advanced Cell Analysis
The system leverages image binarization, spot counting, and cell segmentation to provide objective, quantifiable data on cell patterns and cytoplasmic regions. This detailed analysis enhances the precision of AI breast cancer detection and supports informed treatment planning.
Advanced Cell Analysis
Cells5,842Spots341HER2+12.4%
EHR/EMR Integration
The system enables secure, standards-based connectivity to verify imaging insights with clinical records. By automating data exchange, normalization, and workflow embedding, it ensures results appear directly in provider systems, enhancing decision support and streamlining cancer care coordination.
AI Breast Cancer Detection
EHR/EMR Integration
HL7FHIRDICOM
Latest synced resultsEpic · CernerKey Details
Impacts
Faster HER2 Diagnostics
Computer vision imaging enables quicker analysis for timely breast cancer detection.
Reduced Manual Effort
Automation reduces repetitive tasks by 50%, allowing radiologists to focus on critical decisions.
Reliable Workflows
Standardized processes ensure consistent and accurate HER2 identification.
3x More Accurate Early Detections
Objective cell-level analysis supports faster recognition of early-stage cancer.
Integrated Data & Risk Assessment
Centralized patient histories and trends enable personalized breast risk assessment.
Explore AI and Automation Tools to Speed Up Your Healthcare Workflows
Contact Us NowOur Tech Stack
Contact Us TodaysiScikit-image
MMatlab
JJava