Methodology & Operating Principles
A transparent explanation of how MyTongueAI Pro structures tongue signals, the boundaries it respects, and the constraints by which it operates.
This is a technical appendix — not marketing material.
What This System Does
Captures standardized tongue images via guided scan protocol Segments and isolates visible surface features (coat, texture, edges, color zones) Organizes these features into structured, non-diagnostic summaries Tracks changes across multiple observations for longitudinal comparison Presents results in clinician-facing and patient-facing formats What This System Does Not Do
Diagnose, predict, or detect medical conditions Assess organ function, nutrient levels, or metabolic states Replace clinical exams, bloodwork, or imaging Provide treatment or referral recommendations Use language that implies clinical authority or "AI accuracy" The system deliberately avoids operating in any space that implies diagnostic capability or clinical authority.
Core Methodological Principles
Observation, Not Inference
We describe what is visible — coat thickness, edge scalloping, color variation — without inferring causation or underlying condition.
Structured, Not Scored
We organize signals into categories but do not assign risk scores, health grades, or severity levels.
Longitudinal, Not Snapshot
The value is in tracking change over time — not making claims from a single observation.
Clinician Final Authority
Interpretation, context, and care decisions remain with the licensed clinician. Always.
Language & Output Constraints
Every output is governed by structural linguistic rules.
Always Uses
- •"Observable signal"
- •"May reflect"
- •"For clinician review"
- •"Educational reference"
- •"Longitudinal comparison"
Never Uses
- ✕"Diagnose" / "Diagnosis"
- ✕"Detect" / "Predict"
- ✕"Medical accuracy"
- ✕"Recommend treatment"
- ✕"Clinical decision"
A Note on Transparency
This methodology document is intended for clinicians, institutions, and stakeholders evaluating the platform for integration or collaboration.
We believe in stating clearly what a system does and does not do — and letting clinicians make informed decisions from there.
Ready to Explore the Signal Layer?
We are onboarding aligned practices during our founding cohort phase.