HistoFrame Pulmo
An AI-powered digital pathology platform for lung cancer diagnosis using deep learning, delivering industry-leading diagnostic accuracy.
HistoFrame Pulmo extends IDMETRIX's innovation footprint into healthcare AI — combining secure digital infrastructure expertise with advanced deep-learning diagnostics.
98.2%
Diagnostic Accuracy
Deep Learning
AI Model Type
Digital Pathology
Domain
Capabilities
AI-Assisted Primary Diagnosis Support
Accelerates pathologist workflows with intelligent pre-screening and region-of-interest highlighting.
Diagnostic Accuracy at 98.2%
Validated deep-learning models trained on large pathology datasets for reliable lung cancer classification.
Digital Slide Analysis Pipeline
End-to-end ingestion, normalization, and inference pipeline designed for hospital and laboratory integration.
Clinical Decision Support
Structured reporting outputs that align with diagnostic protocols while keeping clinicians in control.
Secure Healthcare Data Handling
Built with governance, auditability, and privacy considerations for sensitive medical imaging data.
Scalable Cloud & On-Prem Deployment
Flexible deployment models to match institutional infrastructure and regulatory requirements.
Image Intelligence
Revolutionizing biomedical insight.
HistoFrame Pulmo is part of Image Intelligence, our AI and biomedical research venture building software for histopathology, molecular pathology and biomedical research. Its models are trained on over two million annotated regions from biobank partners and run entirely in the browser — nothing to install, scanner agnostic, and built for clinical environments with strict data protection.
- HistoFrame
- Web-based AI platform for lung cancer screening and subtype classification, reported as visual heatmaps. Patent EP23163378.
- Ainnotate
- Cloud-based annotation platform for building AI training data — object detection, segmentation and classification.
98%
Accuracy detecting cancer in histological images
50×
More diagnostic capacity — minutes instead of manual hours
90%
Fewer diagnostic mistakes, with consistent bias-free results