An approach of automating hippocampal volumetric tool for brain

Alzevita is a cloud-based AI tool developed to assist neuroradiologists and imaging professionals in brain MRI analysis through automated hippocampal segmentation and volumetric reporting. It provides improved consistency, speed, and clinical confidence in quantitative neuroimaging workflows. For model development, a total of 200 MRI brain scans from India were used for training, and 298 MRI scans from the USA were utilized for validation. The tool’s efficiency was evaluated using Dice Score and Hausdorff Distance metrics.

Alzevita enables users to upload brain MRI scans in compatible formats, after which the system automatically segments predefined brain regions using AI, computes precise volumetric measurements, and generates standardized reports for clinical review or research archiving. This facilitates efficient data processing, cross-operator standardization, and scalability across both clinical and research environments.

The platform’s cloud-based processing allows fast computation without dependence on high-end hardware, making it accessible from any device. Alzevita reduces manual workload, enables longitudinal and structural comparisons, and supports future expansion into multi-region brain analysis. By enabling accurate and consistent volumetric analysis, Alzevita supports early diagnosis, disease monitoring, and clinical decision-making in neurological conditions such as Alzheimer’s disease, ultimately empowering clinicians with AI-enhanced precision.

To be updated shortly..