> Quantitative volumetric analysis of 10 clinically relevant brain regions from a standard brain MRI, returned as a clinician-ready report. # Clinical-grade AI tools for every stage of brain health From early detection to longitudinal monitoring. Quantitative neuroimaging that fits into existing clinical workflows. ## Alzheimer's Early Detection Quantitative volumetric analysis of clinically relevant brain regions associated with Alzheimer's disease progression. Upload a standard brain MRI and receive a clinician-ready report showing region-by-region measurements, normative comparisons, and staging of structural changes. - 10 clinically relevant brain regions analyzed per scan - Normative comparison against age-matched controls - Longitudinal tracking for disease progression - Standard medical imaging format support In development. Expected release late 2026. Segmentation of clinically relevant brain regions from a standard MRI. ## Three steps from scan to clinical insight 01 ### Upload Scan Upload a brain MRI scan from any clinical scanner. No special hardware or preparation required. 02 ### AI Analysis Our AI engine automatically prepares and analyzes the scan, segmenting clinically relevant brain regions with precision. 03 ### View Results Volumetric measurements compared against normative data matched by age and sex. Downloadable clinical report. ## The ten regions we measure Each is segmented and measured against normative data matched by age and sex. 01 ### Hippocampus Memory formation. Among the first structures affected in Alzheimer's disease. 02 ### Entorhinal Cortex Gateway to hippocampus. Critical for spatial memory and early-stage degeneration. 03 ### Amygdala Emotional processing. Atrophy correlates with behavioral and psychological symptoms. 04 ### Inferior Temporal Gyrus Visual object recognition. Shows early cortical thinning in Alzheimer's. 05 ### Frontal Lobe Executive function and planning. Affected in moderate-to-late stages. 06 ### Parietal Lobe Spatial awareness and sensory integration. Atrophy impacts daily functioning. 07 ### Posterior Cingulate Default mode network hub. Early metabolic changes visible on PET. 08 ### Precuneus Self-referential processing. Early amyloid deposition site. 09 ### Thalamus Sensory relay center. Volume loss indicates broader network disruption. 10 ### Cerebellum Motor coordination. Used as a reference region for normalization. ## Region-Based Alzheimer’s Risk Analysis. Four of the ten measured regions, and what their structural change indicates. Hippocampus Most Important Early Marker #### Structural analysis The hippocampus is critical for memory formation and spatial navigation. Early hippocampal atrophy is one of the strongest structural predictors of Alzheimer’s disease. #### Clinical relevance Hippocampal shrinkage often appears before severe cognitive symptoms, making it central to early-stage detection models. Inferior Temporal Gyrus Progression Indicator #### Structural analysis The inferior temporal gyrus supports visual object recognition and semantic memory. Cortical thinning here is closely associated with progression from Mild Cognitive Impairment to Alzheimer’s. #### Clinical relevance Inferior temporal thinning correlates with measurable decline in naming and object-recognition tasks. Parietal Lobe Cognitive Integration #### Structural analysis The parietal lobe contributes to attention, orientation, and integration of sensory information. Advanced Alzheimer’s progression often involves parietal structural disruption. #### Clinical relevance Changes in this region are associated with spatial disorientation and impaired decision-making. Amygdala Supportive Marker #### Structural analysis The amygdala is involved in emotional regulation and memory processing. Structural changes here may support early differential diagnosis. #### Clinical relevance Amygdala involvement can provide additional context in distinguishing Alzheimer's from other neurodegenerative conditions. #### Structural signals analyzed Volume reduction patterns Asymmetry between hemispheres Early microstructural signal deviations #### Structural signals analyzed Cortical thinning Structural integrity mapping Signal density variation #### Structural signals analyzed Pattern disorganization Connectivity disruption indicators Regional signal attenuation #### Structural signals analyzed Subtle volume deviation Connectivity anomalies Multi-modal feature coupling 10 Brain regions analyzed per scan < 5 min From upload to quantitative report Every region is measured volumetrically and compared against normative data matched by age and sex, so structural change is read against a baseline rather than in isolation. ## What we are building next In Development ### Brain Tumour Segmentation Automated detection, precise volumetric segmentation, and classification of brain tumors for targeted surgical planning and treatment monitoring. ## Built for clinicians and researchers alike For Clinicians ### Built for the radiology workflow - PACS integration (Orthanc-compatible) - Standard PDF report format - Sub-5-minute report turnaround - No additional hardware required - Normative comparison by age and sex - Designed for radiologist workflow Product currently in development For Researchers ### Be part of building this The research API is not open yet, because we are still building it. If you work in neuroimaging, computational neurology, or clinical AI and want to shape what this becomes, we would genuinely love to have you involved. What we are planning - API access for batch processing (planned, not open yet) - Standard medical imaging format support - Raw analysis outputs available - Longitudinal analysis built in - Programmable report generation Early collaborators get direct input into the roadmap. [Get in touch](/contact) Join the Team ### We'd love to have you If you work in neuroimaging, clinical AI, or computational neurology, reach out. Early collaborators help define the direction. We are grateful for every person who believes in this early. - Shape the research API from day one - Early access before public launch - Direct line to the founding team - Co-author research if applicable [Get in touch](/contact) ## Build the future of clinical AI with Cerebramha. 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