The need
Development of an AI-powered solution for the pre-analysis of cranial CT scans and detection of medical anomalies. The system supports radiologists by flagging potential findings early, enabling faster diagnosis and reducing the risk of human error.
Achievement
An AI system designed to process high-resolution cranial CT scans by decomposing 3D volumes into 2D slices and performing image-level anomaly detection. Detected anomalies are cross-validated across multiple layers to increase confidence and deliver reliable diagnostic accuracy.
Results
The model accurately detected cranial anomalies across multiple scan layers, supporting early-stage medical assessments.
At the time, computational constraints limited production deployment; however, recent advances in computing power and training techniques now enable significant performance improvements and practical scalability.
At the time, computational constraints limited production deployment; however, recent advances in computing power and training techniques now enable significant performance improvements and practical scalability.
