Mindpeak Breast
Overview
Mindpeak Breast (part of the Mindpeak Breast Suite) is an AI-powered digital pathology software designed to assist pathologists in analyzing and scoring immunohistochemistry (IHC) breast cancer biomarkers. The tool automates the detection, classification, and quantification of key breast cancer receptors, specifically targeting HER2, Ki-67, ER (Estrogen Receptor), and PR (Progesterone Receptor).
Developed for clinical laboratories, hospitals, and digital pathology practices, the tool integrates directly into existing workflows. It is compatible with major Whole Slide Image (WSI) scanners and is accessible through leading digital pathology platforms and Laboratory Information Systems (LIS), such as Paige, Sectra, and ZayaAI.
Notable Capabilities:
- Automated IHC Quantification: Automatically detects and classifies tumor cells within whole slide images, distinguishing between stained (positive) and unstained (negative) cells to generate precise proliferation and expression scores.
- HER2 Scoring: Classifies membrane staining intensity (0, 1+, 2+, 3+) in accordance with ASCO/CAP guidelines, supporting the identification of HER2-low and HER2-ultralow cases.
- Ki-67 Proliferation Indexing: Offers automated hotspot and global scoring methods (such as the Ki-67 HS and Ki-67 4R protocols) to evaluate tumor proliferation.
- Out-of-the-Box Adaptability: Designed to work with real-world image variability across different staining systems and scanners without requiring manual, lab-specific fine-tuning.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered image analysis for breast pathology
- Standardized interpretation of biomarker analysis
- Reduced inter-observer variability in diagnostics
- Automated tissue analysis for faster results
- Detection and classification of IHC stained tumor cells
- Quantification of HER2, Ki-67, ER, PR, and p53 expression in breast cancer
- Automated tissue segmentation and tumor detection on H&E slides
- 0-click AI solutions for automated image analysis
- Integration with existing lab workflows, scanners, LIS, and cloud storage
- Support for drug development, patient stratification, and clinical trials
Use Cases
- Primary breast cancer diagnosis
- Automated assessment of breast cancer biomarkers (HER2, Ki-67, ER, PR, p53)
- Streamlining pathology workflows and improving efficiency
- Supporting macro-dissection workflows
- Biomarker discovery and development for pharmaceutical companies
- Prognostic risk profiling of breast cancer
Details
| Category | Oncology AI, Pathology AI |
| Pricing | Not disclosed |
| Deployment | On-premise (without cloud connectivity for data privacy and security), integrated into partner platforms (e.g., Paige Platform, Sectra PACS, PathAI's AISight Dx IMS) |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Unknown |
| FDA Status | Unknown |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Pathology, Radiology |
What the Web Says
Mindpeak Breast offers AI-powered solutions for breast cancer diagnostics, aiming to enhance the accuracy and efficiency of pathology workflows. The software assists pathologists in identifying and quantifying breast cancer cells and biomarkers, with modules for HER2, Ki-67, ER, and PR analysis. It has demonstrated high accuracy in comparative studies, particularly for HER2-low scoring, and is designed for seamless integration into digital pathology platforms. The company is actively collaborating with major healthcare and pharmaceutical entities to further validate and deploy its AI tools globally.
Overall: PositiveStrengths
- Increased diagnostic accuracy and reproducibility, especially in challenging cases like HER2-low expression.
- Improved efficiency and reduced reporting time for pathologists by automating repetitive tasks like cell counting and metastasis detection.
- Seamless integration with existing digital pathology platforms, offering a complete and optimized workflow.
- Potential to address the shortage of pathology workforce and streamline diagnostic processes.
- Aids in personalized treatment planning by providing reliable quantification of biomarkers.
- First AI-based diagnostic tool for breast cancer analysis in digital pathology to be used in clinical routine in the US.
Limitations
- Limited publicly available detailed user reviews from individual physicians or healthcare IT professionals outside of company-sponsored studies or partnerships.
- Pricing information is not readily available and requires a custom quote.
- While studies show high concordance, some pitfalls in automated digital image analysis have been identified, requiring algorithm adjustments or manual annotation.
- The full impact on therapeutic decision-making and treatment timelines with AI integration in routine workflows is still under examination.
Based on reviews from: Software Advice, PubMed Central, BioSpace, Business Wire, Mynewsdesk, Sectra Amplifier Marketplace, PitchBook, APEX Ventures, Capterra
Last updated: 2026-10-10
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Videos
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