Transforming cancer diagnostics through deep learning and neural imaging models
Detection Accuracy
Patients Helped
Diagnosis Speed
Our AI team developed a multi-architecture deep learning model that integrates radiomic feature extraction with graph convolution networks to analyze 3D medical scans with unprecedented precision.
Custom neural networks that analyze 3D radiological scans in volumetric format to detect micro-metastases invisible to traditional methods.
Machine learning models that forecast disease progression patterns from patient data to optimize treatment planning.
Seamless integration with clinical workflows via RESTful API and HL7 FHIR standards to deliver real-time diagnostic insights.
The implementation of our AI solution led to significant improvements in both clinical outcomes and operational efficiency across pilot hospitals.
Of cases with atypical symptoms were correctly identified
Faster diagnosis time compared to traditional methods
Positive feedback rate from radiologists
2022
2023
2024
False Positives
1.2%
Recall Score
98.6%
Join thousands of medical professionals leveraging AI to improve patient outcomes.