Early Alzheimer's Detection using deep learning on MRI scans — giving neurologists the clarity to act before symptoms emerge.
A progressive neurological disorder causing brain cells to degenerate — the leading cause of dementia, affecting memory, cognition, and behavior at global scale.
Alzheimer's causes progressive accumulation of amyloid plaques and tau tangles in the brain, disrupting neural signaling pathways and leading to irreversible cognitive decline over time.
Over 55 million people live with dementia globally. Without early detection, progression goes unnoticed for years — costing lives, families, and healthcare systems enormously.
MRI scans reveal hippocampal atrophy and cortical thinning — structural biomarkers that signal Alzheimer's onset years before symptoms emerge clinically. AI makes this detection instant.
Current average diagnosis delay is 2–3 years from onset. NeuroShield AI closes this gap — providing neurologists with probabilistic confidence scores across 4 disease stages from a single MRI scan upload.
A five-stage clinical AI workflow — from secure MRI upload to explainable deep learning output and doctor-confirmed diagnosis.
Neurologist uploads DICOM or NIfTI brain MRI through an encrypted, HIPAA-compliant portal. Instant queue assignment and transmission confirmation.
Skull stripping, bias field correction, and spatial normalization to MNI atlas — ensuring consistent input quality regardless of scanner or acquisition protocol.
Our ensemble deep learning model analyzes hippocampal volume, cortical thickness, and white matter patterns — trained on 10,000+ annotated scans across all 4 disease stages.
A probabilistic confidence score and spatial heatmap highlight regions driving the prediction — explainable AI that builds clinical trust and supports radiologist review.
The report is saved to the patient profile. Neurologist adds notes, confirms or overrides the AI decision, and shares the final diagnosis — complete audit trail maintained.
Real-time visualization of how NeuroShield AI processes an MRI scan and generates a multi-stage confidence report for clinical decision-making.
Hippocampal volume reduction of 12.4% detected. Cortical thinning observed in the entorhinal cortex and precuneus. Clinical confirmation and follow-up MRI in 6 months recommended.
Six minds. One mission — to make early Alzheimer's detection accessible to every neurologist on the planet.
Architected the ResNet50/EfficientNet ensemble and Grad-CAM explainability pipeline.
Built the Flask API, HIPAA-compliant MRI pipeline, and Supabase patient data layer.
Crafted the React dashboard, doctor workflow UX, and 3D neural visualization system.
Designed the clinical interface system, brand language, and patient report templates.
Curated the 10,000+ MRI training dataset and built the preprocessing normalization pipeline.
Handled encryption, HIPAA compliance, CI/CD deployment, and cloud infrastructure scaling.
Deploy NeuroShield AI in your neurology department. Request early access and join the future of Alzheimer's diagnostics.