Toku Eyes
An AI health platform assessing cardiovascular risk, biological age, and kidney-disease risk from standard retinal images
What is it
Toku Eyes is an AI retinal-imaging platform containing multiple modules including CLAiR, BioAge, and MyKidneyAI. Starting from a standard retinal image, it uses AI to assess cardiovascular-disease risk, estimate biological age, and help assess kidney-disease risk. One fundus photo is broken down into multiple health indicators across several dimensions.
What problem it solves
Many chronic diseases have no obvious symptoms early on; by the time you feel something, the golden intervention window is often missed. Toku Eyes aims to use the retinal image people already take to surface multiple health signals — cardiovascular, biological age, and kidney — at once, making health assessment more comprehensive and starting earlier. It suits clinics and health-check institutions wanting to add value to existing fundus-imaging flows, and services that value long-term health management. Presenting results as "biological age" also makes it easier for ordinary people to understand their health status. Note that this data is risk assessment and supplementary reference, not a disease diagnosis; any abnormality should be further assessed by a professional physician. For settings wanting to extract more health information from a single image, its multi-module design is quite attractive.
Key Features
- CLAiR cardiovascular-risk assessment
- BioAge biological-age estimation
- MyKidneyAI kidney-disease risk assessment
- Analyzes using standard retinal images
- Multiple modules integrated in one platform
- Turns images into easy-to-understand health indicators
Pros
- One image surfaces cardiovascular, biological-age, and kidney info at once
- Uses standard retinal images, a relatively friendly adoption barrier
- The biological-age presentation is easier for the public to understand
Cons
- Results are risk assessment and reference, not a substitute for a physician's diagnosis
- Requires existing fundus-imaging equipment and adequate image quality
Use Cases
- Health-check institutions extending fundus images into multi-dimensional health assessment
- Clinics adding cardiovascular and kidney screening value to existing imaging flows
- Long-term health-management services tracking changes via biological age
Editor's Note
Breaking one fundus photo into cardiovascular, biological-age, and kidney signals — lots of value-add potential.
FAQ
Does Toku Eyes need a special camera?
It leads with using standard retinal images for analysis; the key is whether the image quality meets requirements.
What does BioAge's biological age mean?
It's a biological-age indicator estimated from the retinal image, used to reflect health status — reference data, not a precise diagnosis.
Can MyKidneyAI diagnose kidney disease?
No — it provides kidney-disease risk assessment; any abnormality still needs further examination and judgment by a physician.
Related AI Tools
HeyDonto
A semantic integration layer for healthcare data that aligns siloed dental and oncology data into actionable signals.
Patientdesk.ai
24/7 AI voice receptionist for dental practices that handles calls, bookings, and instant insurance verification.
SoftSmile
VISION clear aligner planning software that uses AI to predict tooth movement and visualize biomechanical forces.
DentalMonitoring
AI-powered remote orthodontic monitoring using smartphone selfies to track tooth movement.
NectarVet
Cloud-based practice management system for veterinary clinics with AI-powered voice-to-SOAP medical records.
Natural Cycles
The world's first FDA-cleared contraceptive app, reading daily fertility status with a temperature algorithm