Mindpeak Onychomycosis AI
AI-assisted detection of nail fungus hypha on whole slide images for dermatopathology analysis.
Overview
Mindpeak Onychomycosis AI is a commercially available dermatopathology AI solution developed by Mindpeak GmbH for detecting nail fungus hypha on whole slide images. It is designed to assist pathology experts by automating the detection of hyphae structures in PAS-stained nail specimens, without requiring manual fine-tuning. The tool is intended for Research Use Only and is not approved for use in diagnostic procedures.
The solution is built on a proprietary convolutional neural network model and is reported to achieve reliability on par with human experts. It supports most scanners and microscope cameras and is designed to integrate into existing pathology software workflows.
Detection and Quantification
- Detects and visualizes hyphae structures within whole slide images.
- Classifies whole slide images as positive (hyphae present) or negative (hyphae absent).
- Highlights suspicious regions of interest containing detected hyphae for user review.
Workflow
- Whole slide images are ingested and preprocessed by the AI model.
- Cases are triaged based on detection status (positive or negative for hyphae).
- Upon opening a case, regions with detected hyphae are identified and visually highlighted.
- Users review the flagged regions and provide a final assessment.
Technical Specifications
- Architectural model: proprietary AI based on convolutional neural networks.
- Supported file formats: all major whole slide image formats including TIF and MRXS, as well as PNG and JPG/JPEG.
- Minimum system requirements: 32-bit processor Intel Core i5 or better; 4 GB RAM; standard personal working machine.
Integration and Compatibility
- Compatible with most whole slide image scanners and microscope cameras.
- Designed for integration into existing pathology software environments.
- No manual fine-tuning required prior to use.
Mindpeak Onychomycosis AI is developed by Mindpeak GmbH, a Hamburg-based company founded in 2018 that builds AI and deep learning tools for visual diagnosis in pathology. The product carries a regulatory note that it is intended for Research Use Only and is not for use in diagnostic procedures.
