Pioneering Medical Imaging AI
Leveraging deep learning to revolutionize diagnostics and patient outcomes in neurology.
Intracranial Hemorrhage AI
A comprehensive pipeline based on advanced algorithms for the analysis of non-contrast head CT scans. Our system provides rapid classification, segmentation, and quantification of intracranial hemorrhages and their suptypes to assist surgeons, radiologists, and emergency room's specialities in critical decision-making.
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Classification & Subtyping
Detects the presence of hemorrhage and classifies it into subtypes (e.g., Intraparenchymal, Subdural) with high accuracy.
Detection & Tracking
Identifies and tracks the location and progression of hemorrhage lesions across multiple scans over time.
Segmentation & Volumetry
Precisely segments the hemorrhage area to calculate its volume, a critical biomarker for patient prognosis.
Explainable AI (XAI)
Provides visual heatmaps to show which parts of the image the AI focused on for its predictions, ensuring transparency. Moreover, using concept-based algorithems to provide sufficient information for specialist to facilitate decision-making.
Vision-Language Models (VLMs)
Generates descriptive text reports from the CT scan images, summarizing findings in natural language for radiologists.
Product Showcase
Hemorrhage Segmentation
XAI
