Who should use the Early Alzheimer's Screening via Retinal Imaging workflow?
Teams or solo builders working on healthcare tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Healthcare
Use RetiSpec's hyperspectral imaging and AI to detect amyloid beta plaques in the retina, providing a probabilistic score for cerebral amyloidosis to enable early Alzheimer's screening in a routine eye exam.
Deliverable outcome
High-risk patients are appropriately referred for definitive diagnosis and care planning.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
High-risk patients are appropriately referred for definitive diagnosis and care planning.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Pupil Labs to patient's pupils are fully dilated, ready for high-quality hyperspectral imaging. Then, you pass the output to RetiSpec to high-resolution hyperspectral retinal images acquired for both eyes, free of motion or blink artifacts. Then, you pass the output to RetiSpec to clean, standardized hyperspectral data ready for ai analysis. Then, you pass the output to RetiSpec to ai-generated probabilistic score for retinal amyloid beta burden, indicative of alzheimer's risk. Then, you pass the output to RetiSpec to clinician and patient receive a clear, actionable screening report for early alzheimer's risk assessment. Finally, Braingaze is used to high-risk patients are appropriately referred for definitive diagnosis and care planning.
Patient Preparation and Pupil Dilation
Patient's pupils are fully dilated, ready for high-quality hyperspectral imaging.
Capture Retinal Hyperspectral Image
High-resolution hyperspectral retinal images acquired for both eyes, free of motion or blink artifacts.
Upload and Preprocess Images
Clean, standardized hyperspectral data ready for AI analysis.
Analyze Hyperspectral Image with AI
AI-generated probabilistic score for retinal amyloid beta burden, indicative of Alzheimer's risk.
Generate and Access Screening Report
Clinician and patient receive a clear, actionable screening report for early Alzheimer's risk assessment.
Refer to Specialist for Confirmatory Testing (optional)
High-risk patients are appropriately referred for definitive diagnosis and care planning.
Ensure the patient is comfortably seated and explain the procedure. Administer pupil-dilating eye drops (e.g., tropicamide) to achieve adequate mydriasis for optimal retinal imaging. Wait 15–20 minutes for full dilation before proceeding.
Why Pupil Labs: Pupil Labs specializes in pupillometry analysis, which directly supports the need for pupil measurement and dilation assessment during patient preparation.
Position the patient at the RetiSpec hyperspectral camera and align their chin and forehead against the rests. Instruct the patient to focus on a fixation target while the operator captures a series of spectral images across multiple wavelengths (e.g., 450–900 nm). Acquire at least three high-quality frames per eye to ensure data completeness.
Why RetiSpec: RetiSpec is specifically designed for hyperspectral retinal imaging to detect Alzheimer's biomarkers, matching the exact requirement for capturing retinal hyperspectral images.
Transfer the raw hyperspectral image data from the camera to the RetiSpec cloud platform via a secure network connection. The platform automatically normalizes illumination, corrects for eye movements, and segments the retinal region of interest (e.g., macula and optic disc). Verify that the preprocessing quality metrics (e.g., signal-to-noise ratio) pass thresholds.
Why RetiSpec: RetiSpec provides a cloud platform for uploading and preprocessing hyperspectral retinal images, aligning with the step's need for secure image upload and DICOM-compatible preprocessing.
The RetiSpec AI model processes the preprocessed spectral data to detect the unique spectral signature of amyloid beta plaques in the retina. The model outputs a probabilistic score (0–100%) indicating the likelihood of cerebral amyloidosis. The analysis typically completes within 2–5 minutes; no manual intervention is required.
Why RetiSpec: RetiSpec's AI analysis engine is purpose-built for hyperspectral image analysis to detect amyloid beta plaques and generate probabilistic scores for Alzheimer's screening.
The platform automatically compiles a screening report that includes the amyloid probability score, a risk category (low, moderate, high), and interpretive guidance for the clinician. The report is stored in the patient's electronic health record (EHR) and can be printed or shared via a secure link. Review the report with the patient, explaining that this is a screening tool and not a diagnostic test.
Why RetiSpec: RetiSpec generates probabilistic scores for cerebral amyloidosis and provides reporting modules suitable for screening report generation and EHR integration.
If the screening score is moderate or high (e.g., >50% probability), recommend the patient consult a neurologist for further evaluation. Provide the screening report and suggest confirmatory tests such as amyloid PET scan or CSF analysis. Document the referral in the EHR and schedule a follow-up in 3–6 months if the patient declines immediate referral.
Why Braingaze: Braingaze offers Alzheimer's early detection and could support referral workflows by providing additional cognitive assessment data for specialist review.
§ Before you start
Teams or solo builders working on healthcare tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
§ Related
Track competitor moves and market shifts in real-time with automated intelligence gathering — so you always know what your rivals are doing.
Connect siloed business applications into a unified, AI-managed operational pipeline that eliminates manual handoffs between systems.
Analyze portfolios, backtest investment strategies, and receive AI-generated market signals — giving individual investors access to institutional-grade tools.