Public source
Reviewed 21 Jul 2026
Completeness Fair (31%)
Ibex Breast
IBEXIbex Breast assists pathologists in breast biopsy and excision diagnosis by improving the detection and grading of cancer and other clinically relevant features. The AI model detects 54 tissue morphologies. The model's aims are:
• Triaging with tagged case-level & slide-level AI findings
• Optimization with IHC pre-ordering based on AI findings
• Increased accuracy with AI-powered heatmaps detecting invasive cancer & ADH/DCIS
• Increased consistency with AI-powered heatmaps for ILC, IDC & DCIS grading
• Quick and accurate identification of microinvasions, lobular neoplasia, microcalcifications, LVI & TILS
Supported by 3 papers
General Information
Product name
Company
Modality
Main task
Subspeciality
Organ/Specimen source
Not specified
Disease targeted
Specimen type
Staining
Stain subtype
Not specified
Regulatory Information
Pathway:
In Vitro Diagnostic Directive (IVDD)
Class:
General IVD Devices
Not verified by Health AI Register
Scanner Brands Certified for Use (CE-IVD)
Not specified
Scanner Models Certified for Use (CE-IVD)
Not specified
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
A Comprehensive AI-Based Approach in Classifying Breast Lesions: Focusing on Improving Pathologists’ Accuracy and Efficiency
Clinical Breast Cancer · Mar 2025
Validation of prostate and breast cancer detection artificial intelligence algorithms for accurate histopathological diagnosis and grading: a retrospective study with a Japanese cohort
Pathology · Apr 2024
Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies
npj Breast Cancer · Dec 2022
Technical Specifications
Patient population age
Not specified
Input
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Input format
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Output
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Output format
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Integration
Not specified
Deployment
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Trigger for analysis
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Processing time
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Population
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Viewer systems
Not specified
Market Presence
On market since
Not specified
AI Platforms
Resellers
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Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
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Based on
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Source: Public | First published: Aug 1, 2025 | Last updated: Jul 21, 2026