PathoFinder harnesses advanced AI to localize anatomic landmarks and detect regions of interest in radiographs with unprecedented speed and accuracy.
Pioneering AI in Radiology
A comprehensive platform designed to automate anatomic landmark localization for ankle, hip, knee, spine, alignment radiographs, and other imaging modalities.
Automated identification of key anatomic reference points with sub-millimeter precision for orthopedic analysis.
Native support for DICOM formats ensures seamless integration with PACS and hospital information systems.
Get results in under 1.5 seconds, allowing for real-time clinical decision support during patient visits.
Validated against thousands of expert-annotated radiographs to ensure medical-grade reliability.
Enterprise-grade security ensuring patient data privacy and compliance with local healthcare regulations.
Generate consistent, data-driven reports with annotated radiographs and precise measurement data.
From radiograph upload to automated analysis in four simple steps.
Import X-ray images or DICOM files directly from your scanner or PACS system.
Our deep learning models localize anatomic landmarks and identify regions of interest.
Examine AI-generated coordinates, confidence scores, and landmark accuracy.
Generate comprehensive radiology reports and share findings securely with your clinical team.
Technical evaluation of LLA-Finder and LLD-Finder v1.2 across major lower limb anatomic regions.
| Anatomic Region (ROI) | Detected | Missed | Expected | Hit Rate (%) |
|---|---|---|---|---|
| Femoral Head | 876 | 4 | 880 | 99.5% |
| Knee Joint | 879 | 1 | 880 | 99.9% |
| Ankle Joint | 879 | 1 | 880 | 99.9% |
| Femur Shaft | 863 | 17 | 880 | 99.1% |
| Evaluation Group | Avg. MAE % | MAE X % | MAE Y % | Total Samples |
|---|---|---|---|---|
| Full-Image Analysis | 1.50 | 1.24 | 0.60 | 3973 |
| Shaft-Sliced Analysis | 0.33 | 0.18 | 0.23 | 1548 |
PathoFinder was born from the understanding that AI should augment, not replace, the expertise of radiologists. Our team of clinicians, researchers, and engineers has created a platform that integrates seamlessly into existing clinical workflows.
We combine state-of-the-art deep learning with rigorous clinical validation, ensuring every prediction meets the highest standards of medical accuracy.
Join clinical institutions already using PathoFinder to deliver faster, more accurate localized analysis.