Solutions for the governmental body
Enhancing Cardiovascular Disease Diagnosis with ML
The main task was to find a comprehensive solution in Medical Image Analysis and Computer Vision.
Our team worked with raw MRI data scans to identify the existence of cardiovascular disease and its progression. We developed a state-of-the-art model that accurately predicts diseases with a staggering 88% accuracy rate. Our solution has been implemented across the department, streamlining the process of diagnosing and treating cardiovascular disease.
Our team consisted of a ML developer
The project took 2 months to complete