Bloating How AI Analyses It
The AI behind reading bloating — and why explainability is what makes it trustworthy.

Bloating is common and uncomfortable, and it usually traces back to diet, motility or gas.
What the models do
Models trained on annotated data classify and quantify regularity and stool form and response to specific foods, converting raw capture into structured signals. Certain foods, eating pace and stress are frequent contributors.
Why explainability matters
A score nobody understands is a score nobody acts on. Every insight about bloating pairs with its contributing features, time window and a plain-language rationale.
- Regularity and stool form
- Response to specific foods
- Patterns during stressful weeks
“The test you take every day beats the perfect test you take once a year.”
Human in the loop
The aim is not to replace clinical judgement but to feed it better, earlier, more objective data about bloating.

