Affordable medical technology for Caribbean healthcare
CRENO builds AI-powered screening tools, connected devices, and clinical software for resource-limited health systems — starting with diabetic retinopathy. One image. A clinical-grade result in under 30 seconds.
82%
Weighted F1 Score
97%
Severe DR Recall
<30s
AI Result Time
creno.health / imaging
AI Classification
Proliferative DR
Stage 5 — Urgent
Confidence
97%
⚑ Urgent referral required
Patients
24
Screenings
118
Priority
3
Why CRENO
Early detection saves sight.
98% of severe vision loss from DR is preventable. CRENO puts clinical-grade retinal screening in the hands of any primary care doctor — no specialist required.
AI Classification
5-class DR grading in under 30 seconds with 82% weighted F1.
Live Vitals
Bluetooth sensors capture SpO₂, heart rate & temperature.
PDF Reports
Instant clinical reports and referral letters for every screening.
Appointments
Full scheduling and patient management built in.
<30sAI result
82%Weighted F1
5DR classes
Screening in progress — result in 28s
Meet CRENO
Medical technology, engineered for where it's needed most
CRENO develops affordable medical technologies for resource-limited healthcare systems — combining smartphone-based diagnostics, connected devices, and clinical AI into tools any primary care clinic can deploy.
01Built at the University of the West Indies
02Advancing through the FutureHEALTH Incubator
03Designed for Caribbean populations first
Our Solutions
One ecosystem. Four ways in.
Hardware, software, and AI designed to work together — and priced for public health budgets.
Portable Retinal Screening System
Smartphone-based fundus imaging with a 3D-printed optical adapter. Specialist-grade screening from any exam room.
Learn more
AI Clinical Platform
Five-class DR grading, patient records, analytics, appointments, and one-click PDF reports — in one clinical portal.
Learn more
Connected Vitals Hardware
A pocket-sized Bluetooth module capturing SpO₂, heart rate, temperature, and estimated blood pressure at the point of screening.
Learn more
Future Technologies
New point-of-care diagnostics and connected devices in active research — extending the platform beyond eye care.
Explore the ecosystem
Clinical Workflow
From patient to referral in five steps
No ophthalmologist on-site. No specialist equipment. CRENO fits inside the visit your clinic already runs.
Step 01
Patient
Registered in the CRENO app during a routine primary care visit.
Step 02
Retinal Image Capture
Fundus photo taken with the smartphone adapter; vitals captured over Bluetooth.
Step 03
AI Analysis
Five-class DR severity grading with a confidence score, in under 30 seconds.
Step 04
Clinical Review
The doctor confirms the result on the portal alongside vitals and history.
Step 05
Referral
Urgent cases are flagged and a referral-ready PDF report is generated in one click.
Platform Preview
A clinical platform built for speed and precision
Real-time AI results, patient records, analytics, and referrals — in a single unified interface.
Diabetic retinopathy is the leading cause of preventable blindness
The Caribbean has among the highest diabetes prevalence in the world — and one of the lowest ratios of ophthalmologists to patients. Most DR is caught only after irreversible damage. Screening earlier changes that.
537M
adults living with diabetes globally — Caribbean regions disproportionately affected
1 in 3
people with diabetes will develop diabetic retinopathy — often without symptoms
98%
of severe vision loss from DR is preventable with timely screening and treatment
<30s
is all it takes for CRENO's AI to classify a retinal image
Who we serve
Built for every level of the health system
From a single exam room to a national screening programme, CRENO scales with the people who use it.
Primary Care
Clinics
Add specialist-grade screening to routine visits — no new staff, no capital equipment.
Hospital Network
Hospitals
Triage referrals with AI-graded urgency so ophthalmology time goes to the patients who need it most.
Public Health
Ministries of Health
Deploy population-scale screening with built-in analytics on prevalence, coverage, and outcomes.
Clinicians
Healthcare Professionals
Confidence scores, patient history, and one-click reports — decision support that respects clinical judgment.
Inside CRENO
An ecosystem, end to end
Every layer — optics, sensors, AI, and cloud — is designed in-house to work as one system. Scroll to explore.
📷
Imaging Hardware
3D-printed smartphone optics engineered for fundus photography.
🧠
Artificial Intelligence
EfficientNetV2-S deep learning, threshold-optimized for clinical recall.
☁️
Cloud Platform
Firebase and GCP infrastructure with real-time sync and offline support.
📊
Clinical Analytics
Screening rates, severity trends, and cohort insights for programme teams.
🔬
Research
Peer-reviewed methodology, developed with university clinical supervision.
🩺
Future Medical Devices
The next generation of affordable diagnostics, in active development.
Future Vision
More than retinopathy
"To make specialist-level disease detection accessible to every clinic in the Caribbean — and eventually, the wider world — regardless of resources, infrastructure, or specialist availability."
Standard retinal AI tools frequently underperform on darker fundus pigmentation. CRENO is built for Afro-Caribbean populations first — because affordable medical technology should start with the people it serves.
Testimonials
Trusted by clinicians and health researchers
"CRENO dramatically reduces the time between screening and clinical decision. For our rural clinics, having AI-assisted DR grading available instantly changes how we manage diabetic patients."
DR
Dr. Rachel Bowen
Family Physician, Kingston, Jamaica
"The integration of Bluetooth vitals with retinal screening in a single workflow is exactly what primary care in the Caribbean has needed. The platform is intuitive and the AI results are actionable."
SM
Dr. Samuel Mitchell
Medical Officer, Trinidad & Tobago
"From a public health perspective, CRENO represents the kind of scalable, low-cost screening solution that can meaningfully reduce preventable blindness across our region."
PA
Prof. Angela Prescott
Public Health Researcher, UWI
FAQ
Common questions about CRENO
CRENO's EfficientNetV2-S model achieves a weighted F1 score of 82% across five DR severity classes, with a 97% recall rate for Severe and Proliferative DR — the cases where timely referral is most critical. Post-hoc threshold optimization ensures Moderate DR recall reaches 79%, minimizing clinically meaningful missed diagnoses.
CRENO requires a smartphone (Android or iOS) running the CRENO mobile app, a lightweight 3D-printed optical adapter for fundus imaging, and the custom ESP32 Bluetooth vitals sensor module. No expensive ophthalmology equipment is needed. The web clinical portal works in any modern browser.
The mobile app supports offline data entry and image capture. Images are queued for upload and AI analysis when connectivity is restored. Core patient records are cached locally. The web portal requires an internet connection to access the Firebase-backed database and AI backend.
All patient data is stored in Google Firebase with role-based access controls enforced at the database rule level. Retinal images are stored in Firebase Storage with private access tokens. The AI backend is hosted on Google Cloud Platform. Data handling is aligned with HIPAA best practices and Caribbean data protection standards.
CRENO has three role types: Doctors/Clinicians who access the full clinical dashboard; Patients who can view their own results, appointments, and health goals; and System Administrators who manage doctor approvals and platform accounts. All accounts are reviewed and approved before access is granted.
Get In Touch
Request access or schedule a demonstration
Whether you represent a ministry of health, a research institution, a hospital network, or a primary care clinic — we'd like to hear from you.
Or sign in directly →
Firebase-secured data
HIPAA-aligned handling
UWI-developed technology
FutureHEALTH Incubator
Ready to Modernize Retinal Screening?
Access the CRENO clinical portal to start screening patients, reviewing AI results, and generating reports — built for primary care providers across the Caribbean.
The CRENO Ecosystem
Everything we build, built to work together
CRENO is not a single device. It's an ecosystem of affordable medical technologies — optics, sensors, AI, and clinical software — designed as one system for resource-limited healthcare.
Portable Retinal Screening System
Our flagship product — smartphone fundus imaging, Bluetooth vitals, and clinical AI in one portable kit.
Explore the product
Clinical Software Platform
The web portal and mobile app where screening, review, reporting, and patient management happen.
Explore the platform
Hardware & Accessories
The optical adapter, 20D lens, vitals module, and supporting accessories that make up the physical kit.
Browse the catalogue
Research & Innovation
The peer-reviewed science behind the system — model development, validation, and academic collaboration.
See the research
Future Technologies
The next chapter is already in development
The same approach — low-cost hardware, clinical AI, and connected software — applied to new diagnostic problems.
Coming Soon
Next-gen vitals wearable
Continuous monitoring for chronic disease management between clinic visits.
Coming Soon
Point-of-care diagnostics
Applying the same low-cost optics and AI approach to new screening targets.
Coming Soon
Regional screening network
Connecting clinics, hospitals, and specialists across the Caribbean on one platform.
Portable Retinal Screening System
Specialist-grade diabetic retinopathy screening from a smartphone. Designed for primary care. Priced for public health.
3D-printed optical adapterClips over the smartphone camera
Smartphone captureWorks on standard Android & iOS devices
AI-assisted screening5-class DR grading with confidence score
Cloud-connectedSynced to the CRENO clinical portal
<30s
Capture to AI result
82%
Weighted F1 score
97%
Severe DR recall
5
DR severity classes
4
Vitals per screening
1×
Smartphone required
Overview
One kit replaces a referral
Standard fundus cameras cost tens of thousands of dollars and need specialist operators. This system reduces the screening step to hardware most clinics already own — a smartphone.
Capture anywhere
The 3D-printed optical adapter and 20D condensing lens turn a smartphone into a portable fundus camera — no fixed installation, no darkroom.
Grade instantly
Images upload to the cloud, where an EfficientNetV2-S model returns a five-class DR severity grade with a confidence score in under 30 seconds.
Act immediately
Results appear on the clinical portal with vitals and history. Urgent cases are flagged, and referral-ready PDF reports generate in one click.
Clinical Workflow
Five steps, one visit
The full pathway — from registration to referral — fits inside a routine primary care appointment.
Patient
Registered in the CRENO app with demographics and history.
Image Capture
Fundus photo via the smartphone adapter; vitals over Bluetooth.
AI Analysis
Five-class grading with confidence, in under 30 seconds.
Clinical Review
The doctor confirms on the portal with full context.
Referral
Urgent cases flagged; PDF report generated in one click.
Hardware Overview
Three pieces of hardware. Zero specialist equipment.
Every physical component is designed in-house to be affordable, repairable, and replaceable.
Optical adapter
3D-printed housing that aligns the smartphone camera, lens, and illumination.
20D condensing lens
The same optical standard used in indirect ophthalmoscopy — proven, available, affordable.
Bluetooth vitals module
ESP32-based sensor pod for SpO₂, heart rate, temperature, and estimated blood pressure.
Technical Specifications
Under the hood
AI model
EfficientNetV2-S deep convolutional network with test-time augmentation
Training dataset
APTOS 2019 — 3,662 clinician-graded fundus images
Classification
5 severity classes: No DR · Mild · Moderate · Severe · Proliferative
Performance
82% weighted F1 · 97% Severe DR recall · threshold-optimized Moderate recall
Result time
Under 30 seconds from upload to classification
Image capture
Smartphone camera + 20D condensing lens + 3D-printed optical adapter
Vitals
Heart rate, SpO₂ (MAX30102) · infrared temperature (MLX90614) · estimated blood pressure from pulse wave features
Connectivity
Bluetooth (vitals module) · Wi-Fi or mobile data (cloud sync) · offline capture with queued upload
Software
Android & iOS mobile app · browser-based clinical portal · PDF report generation
Infrastructure
Firebase (auth, database, storage) · Google Cloud Platform AI backend
Gallery
In the field
Who it's for
Real-world use, at every level
The same kit serves a rural clinic's Tuesday screening day and a ministry's national programme.
For clinics
Screen diabetic patients during routine visits instead of adding names to a referral backlog. No specialist equipment, no new hires, and analytics that show programme impact.
For doctors
AI decision support with transparent confidence scores — never a black box. Full patient context, urgent-case flagging, and one-click referral reports keep clinical judgment in charge.
For ministries of health
A screening programme that deploys on smartphones, reports population-level data, and costs a fraction of conventional fundus camera infrastructure.
FAQ
Common questions
The model achieves a weighted F1 score of 82% across five DR severity classes, with 97% recall for Severe and Proliferative DR — the cases where timely referral matters most. Threshold optimization lifts Moderate DR recall to 79%. Every result includes a confidence score, and a clinician always makes the final call.
A smartphone (Android or iOS) running the CRENO app, the 3D-printed optical adapter with 20D lens, and the Bluetooth vitals module. The clinical portal runs in any modern browser. No ophthalmology equipment is required.
Yes. The mobile app supports offline registration and image capture; images queue and upload automatically when connectivity returns. Core patient records are cached locally on the device.
CRENO is clinical decision support, not a replacement for clinicians. Every AI grade is reviewed by the treating doctor on the portal, alongside the image, vitals, and patient history, before any clinical action is taken.
Roadmap
Where the product goes next
In Development
Improved capture guidance
On-screen pupil alignment assistance to make high-quality capture easier for any operator.
In Development
Expanded validation
Broader clinical testing on Caribbean populations to strengthen the evidence base.
Exploring
Additional eye conditions
Research into extending the AI pipeline beyond diabetic retinopathy.
The Clinical Software Platform
Where screening becomes care. One connected system for doctors, patients, and administrators — on the web and on mobile.
97% Confidence · Proliferative DR
Real-time Vitals Connected
CRENO Clinical Portal — Dr. Harrison
Clinical
Dashboard
Patients
Retinal Imaging
Appointments
Tools
Analytics
Reports
Dashboard Overview
Total Patients
24
Screenings
118
High Priority
3
Recent Screenings
MJ
M. JohnsonSevere DR
AC
A. ClarkeNo DR
RT
R. ThomasModerate DR
Retinal Analysis
AI Result
Proliferative DR — Stage 5
97%
Capabilities
Everything a screening programme needs, nothing it doesn't
AI Analysis
Five-class DR severity grading with confidence scoring, threshold-optimized recall, and side-by-side image review in a fullscreen lightbox with zoom and pan.
<30s
Patient Management
Full registry with demographics, screening history, and longitudinal tracking.
Appointments
Scheduling synced to the patient app with reminders and completion tracking.
Reports
One-click PDF referrals, clinical summaries, and patient handouts.
Analytics
DR prevalence, screening rates, and clinical trends by cohort — chart-driven dashboards.
Cloud Sync
Firebase-backed real-time sync between mobile and web, with offline support.
Separate secure portals for clinicians, patients, and administrators — each with purpose-built workflows and data access aligned to their role in the care pathway.
Doctor Dashboard
Triage at a glance
Urgent cases surface first. KPIs, recent screenings, and priority flags give clinicians the state of their patient panel in seconds — then one click opens the full case.
Priority queue ordered by AI-graded severity
Screening history and vitals in one view
Fullscreen retinal viewer with zoom and pan
Patient Portal
Patients stay in the loop
Every patient gets their own secure view: screening results explained clearly, downloadable PDF summaries, upcoming appointments, and health goals assigned by their doctor.
Results and history, in plain language
Appointment management with reminders
Doctor-assigned goals tracked over time
See the platform with your own data
Sign in if your clinic already has access, or request a walkthrough with the CRENO team.
Hardware & Accessories
Engineered to be affordable. Designed to be beautiful.
Every physical component of the CRENO system, from optics to sensors — designed in-house, built to be repaired and replaced, and made to work as one kit.
Core Kit
Smartphone Optical Adapter
A 3D-printed housing that clips over the smartphone camera, holding the condensing lens and illumination in precise optical alignment. It's the component that turns a phone into a fundus camera.
In the ecosystem: the adapter is the physical bridge between the patient's eye and the CRENO app — every screening starts here.
The optical heart of the system: a 20-diopter condensing lens, the same standard ophthalmologists use in indirect ophthalmoscopy. Proven optics, globally available, and a fraction of the cost of a dedicated fundus camera.
In the ecosystem: paired with the adapter, it forms the aerial retinal image the smartphone camera captures.
20 diopterClinical-standard opticsSeated in adapter housing
Core Kit
Bluetooth Vitals Module
A pocket-sized ESP32-based sensor pod with an OLED display. It captures pulse oximetry and heart rate via a MAX30102 sensor, infrared temperature via MLX90614, and estimates blood pressure from pulse wave features — streaming everything to the app over Bluetooth.
In the ecosystem: vitals attach automatically to each screening, giving clinicians a fuller physiological picture.
ESP32 · BluetoothMAX30102 · MLX90614128×64 OLED displayHR · SpO₂ · Temp · est. BP
Accessory
LED Illumination System
Controlled, diffuse illumination for consistent fundus image quality across lighting conditions — so a screening in a bright rural clinic and one in a dim exam room produce comparable images for the AI.
In the ecosystem: consistent illumination means consistent input to the model, which means consistent grading.
Diffuse, even outputIntegrates with adapter
Accessory
Tripod Mounting System
A stable mount for the phone-and-adapter assembly, freeing both of the operator's hands to guide the patient and manage fixation. Especially useful for high-volume screening days.
In the ecosystem: steadier capture, sharper images, higher first-attempt success rates.
Foam-fitted protection for the full kit — adapter, lens, vitals module, and cables — built for the realities of travel between clinics on Caribbean roads.
In the ecosystem: one case is one deployable screening station, ready to move.
Custom foam insertsFull kit in one case
Future Accessories
The kit keeps growing
New accessories in exploration — designed with the same principles of affordability and field-readiness.
Coming Soon
Field power kit
Extended battery options for full-day outreach screening away from reliable power.
Coming Soon
Next-generation optics
Refinements to the adapter and lens assembly for wider field of view.
Technology
The engineering behind the ecosystem
Optics, artificial intelligence, and cloud infrastructure — each layer designed for the constraints of resource-limited healthcare, and for each other.
Optics
Clinical optics, consumer hardware
The imaging path borrows from indirect ophthalmoscopy: a 20D condensing lens forms an aerial image of the retina, and the smartphone camera — held in precise alignment by the 3D-printed adapter — captures it. Controlled LED illumination keeps image quality consistent across environments.
Proven optical standard, no proprietary lenses
Adapter geometry locks alignment automatically
Artificial Intelligence
A model tuned for the cases that matter
An EfficientNetV2-S network, trained on the APTOS 2019 dataset of 3,662 clinician-graded fundus images, classifies each image into five DR severity levels. Test-time augmentation stabilizes predictions, and post-hoc threshold optimization deliberately trades raw accuracy for higher recall on clinically important grades.
82% weighted F1 across five classes
97% recall on Severe DR after optimization
Confidence score reported with every grade
Cloud Platform
Firebase and Google Cloud, working together
Firebase handles authentication, the real-time database, and encrypted image storage with role-based security rules enforced at the database level. The AI model runs on a Google Cloud Platform backend, returning classifications to the app and portal the moment they're ready.
Real-time sync between mobile app and portal
Offline capture with queued upload
Security & Privacy
Patient data, treated like it matters
Security isn't a feature — it's the default posture of every layer of the system.
Role-based access
Clinicians, patients, and administrators each see only what their role requires — enforced in database security rules, not just the interface.
Private image storage
Retinal images live in Firebase Storage behind private access tokens. No public URLs, ever.
Reviewed account access
Every clinician account is reviewed and approved before it can access patient data.
Aligned with best practice
Data handling follows HIPAA-aligned practices and Caribbean data protection standards.
Curious about the science?
The technology page shows how it works. The research page shows why we trust it.
Research & Validation
Built on evidence, validated in the open
CRENO began as university research with clinical supervision, and the science stays central: transparent metrics, honest limitations, and validation before claims.
82%
Weighted F1 across five DR severity classes
97%
Severe DR recall after threshold optimization
79%
Moderate DR recall, up from 61% pre-optimization
3,662
Clinician-graded images in the APTOS 2019 training set
The AI Model
Methodology you can interrogate
The classifier is an EfficientNetV2-S network trained on APTOS 2019 with test-time augmentation. Rather than optimizing headline accuracy, we applied post-hoc threshold optimization to prioritize recall on the grades where a missed diagnosis costs sight — lifting Moderate DR recall from 61% to 79% and Severe DR recall to 97%.
Every prediction ships with a confidence score
Designed with attention to Afro-Caribbean fundus pigmentation, where standard tools underperform
Programme
Where the work stands
An honest snapshot — including the parts still in progress.
Submitted
Conference research
An extended abstract on the system's methodology and results has been submitted to the CRAS conference.
Validation in Progress
Clinical testing
Structured validation of the end-to-end system in Caribbean primary care settings is underway.
Publication Coming Soon
Peer-reviewed publication
A full write-up of the model, optics, and clinical workflow is in preparation.
Collaboration
Research doesn't happen alone
CRENO grew out of an academic environment and keeps those roots.
University of the West Indies
Developed as a biomedical engineering capstone research project at UWI with clinical supervision — and refined there ever since.
FutureHEALTH Incubator
CRENO is advancing from research prototype to deployable product through the FutureHEALTH Incubator programme.
Open to partners
We welcome academic partnerships, clinical validation sites, and public health collaborations across the region.
Future Studies
What we want to prove next
Planned
Regional dataset validation
Evaluating model performance on locally collected Caribbean fundus images.
Planned
Workflow outcome studies
Measuring the impact on screening rates and referral timeliness in real clinics.
Exploring
Beyond retinopathy
Research into extending the pipeline to additional eye conditions.
About CRENO
Sight shouldn't depend on your postcode
"To make specialist-level disease detection accessible to every clinic in the Caribbean — and eventually, the wider world — regardless of resources, infrastructure, or specialist availability."
Why CRENO exists
A solvable problem, left unsolved
The Caribbean carries some of the highest diabetes prevalence in the world, alongside one of the lowest ratios of ophthalmologists to patients. Most diabetic retinopathy here is discovered only after irreversible damage — not because it can't be detected, but because the tools to detect it were never designed for this environment.
CRENO was founded on a simple conviction: 98% of severe vision loss from DR is preventable with timely screening, and "timely" should not require a specialist, a darkroom, or a five-figure camera.
Philosophy
Three principles, no exceptions
Every design decision — hardware, software, and science — answers to these.
Affordability first
If a public clinic can't afford it, it doesn't ship. Smartphones, standard lenses, 3D-printed parts, and open infrastructure keep the cost floor low by design.
Built for the region
Designed for Afro-Caribbean populations, intermittent connectivity, and real clinic workflows — not adapted to them as an afterthought.
Clinical rigor
Transparent metrics, clinician-in-the-loop decisions, and validation before claims. The AI supports doctors; it never replaces them.
The Journey
From capstone to company
Research
Born at the University of the West Indies
CRENO began as a biomedical engineering capstone research project: a smartphone-based retinal screening system with clinical AI, developed under clinical supervision.
Prototype
A working end-to-end system
The optics, vitals hardware, AI backend, mobile app, and clinical portal were built and integrated into a single functioning workflow.
Incubation
FutureHEALTH Incubator
CRENO joined the FutureHEALTH Incubator to make the leap from research prototype to deployable healthcare product.
Now
Validation in progress
Clinical testing, conference research, and platform refinement — building the evidence base for wider deployment.
Ahead
The Caribbean, then the world
Regional deployment of retinal screening — and the same ecosystem approach applied to new diagnostics for resource-limited health systems everywhere.
Build this with us
Whether you run a clinic, a ministry programme, a research group, or a fund — there's a place for you in this story.
Newsroom
News & Updates
Milestones, research progress, and announcements from the CRENO team.
Research
Extended abstract submitted to the CRAS conference
The methodology and results behind CRENO's retinal screening system have been submitted for presentation to the surgical and interventional robotics research community.
Programme
CRENO joins the FutureHEALTH Incubator
The team is advancing from research prototype to deployable product through the FutureHEALTH Incubator programme.
Milestone
Integrated prototype: imaging and vitals in one workflow
Smartphone fundus capture, Bluetooth vitals, and cloud AI grading now run as a single end-to-end screening flow.
Platform
Clinical portal improvements
Ongoing refinements across the doctor dashboard, patient portal, reporting, and analytics — shaped by clinician feedback.
Clinical
Validation programme underway
Structured clinical validation in Caribbean primary care settings is in progress. Results will be shared here as they mature.
Stay Tuned
More announcements coming soon
Conference presentations, validation results, and company updates will appear here.
CRENOClinical Portal
AI retinal screening for Caribbean primary care
Clinician-grade diabetic retinopathy detection in under 30 seconds — no ophthalmologist required.
EfficientNetV2-S model, 82% weighted F1 across 5 severity classes
Real-time vitals via Bluetooth — heart rate, SpO₂, temperature, blood pressure
Patient records, appointment scheduling, and PDF report generation
Firebase-backed · GCP AI backend · HIPAA-aligned data handling
82%
Weighted F1 score
97%
Severe DR recall
<30s
AI result time
5
DR severity classes
CRENO Portal
Sign in to your account
Select your role to continue
Provider Portal
CRENO
Doctor
Welcome back
Sign in to your clinical dashboard
Patient Portal
CRENO
Patient
Your health records
Sign in to view your screening results
View your retinal screening report
Download your PDF report
View upcoming appointments
For the best experience, use the CRENO mobile app on your phone.
Clinical Command Center
Good morning, Doctor
Loading…
— patients
— screenings
— urgent cases
— appointments
Today's Work
What needs your attention right now
Priority Patients
Highest-risk results needing review
Recent Screenings
Latest AI analyses
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Today's Appointments
Today
Recent Activity
Latest events across your patients
Patients
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Loading patients…
Retinal Imaging
Upload a new image or select a previous screening
Run AI analysis
Your AI server is HTTP-only. Open this file directly (file://) or add SSL to your GCP VM for https:// hosting.
⚠ CORS error — AI server not reachable from the browser
Your Flask server needs to allow browser requests. Add this to your server file:
pip install flask-cors
# At the top of your Flask file:
from flask_cors import CORS
# Right after app = Flask(__name__):
CORS(app)
Then restart your GCP server. The mobile app works because React Native bypasses CORS — browsers enforce it. Image has been saved to Storage regardless.
Build, preview and manage clinical screening reports
Report contents
Select a patient to load details
Options
Report preview
Select a patient to preview the report
Recent Reports
Reports you've generated
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Appointments
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—
Today
—
Upcoming
—
Completed
—
Cancelled
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Check-up Requests
Review patient follow-up requests and link approvals
—
Pending requests
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Scheduled
—
Link requests
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Patient Health Portal
Welcome back
Loading your health summary…
— screenings
— upcoming appointments
Screenings
—
Total
Last Result
—
—
Upcoming
—
Appointments
Latest Screening
Most recent AI analysis
Next Appointment
Upcoming schedule
My Vitals
Latest recorded
Vitals Over Time
Health trends from your screenings
Heart rate (bpm)
SpO₂ (%)
Temperature (°C)
Blood pressure (systolic)
Screening results
All retinal screenings performed by your doctor
History
Appointments
Your upcoming and past appointments
All appointments
Check-up Requests
Request a follow-up with your provider and track responses
New request
Your provider will be notified and can accept, decline, or propose a new time.
My requests
My report
A personal summary of your latest screening
Options
This is an unofficial personal summary for your own records.
Preview
Building preview…
Patient Education
Understanding Diabetic Retinopathy
What your result means and what to do next
What is diabetic retinopathy?
Diabetic retinopathy (DR) is an eye condition caused by damage to the blood vessels in the retina due to prolonged high blood sugar. It is one of the leading causes of vision loss in working-age adults, but when caught early it is highly treatable.
Regular retinal screening is the single most effective way to detect DR before symptoms appear.
Severity levels explained
No DRNo signs detected. Continue annual screening and maintain good blood sugar control.
