Colorectal Health How AI Analyses It
The AI behind reading colorectal health — and why explainability is what makes it trustworthy.
Colorectal health is reflected in stool form, rhythm, colour and persistent changes that should never rely on memory alone.
What the models do
Models trained on annotated data classify and quantify stool form and colour trends and bowel frequency and regularity, converting raw capture into structured signals. Stool form, colour and frequency provide practical day-to-day context for digestive and colorectal wellbeing.
Why explainability matters
A score nobody understands is a score nobody acts on. Every insight about colorectal health pairs with its contributing features, time window and a plain-language rationale.
- Stool form and colour trends
- Bowel frequency and regularity
- Persistent pattern changes over 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 colorectal health.
