The Journal
DiagnosticsAugust 4, 2026 6 min read

Stool Analysis How AI Analyses It

The AI behind reading stool analysis — and why explainability is what makes it trustworthy.

Glowing teal data helix above a porcelain surface

Stool analysis reads form, colour and frequency to reveal how your digestion, hydration and microbiome are trending.

What the models do

Models trained on annotated data classify and quantify Bristol type of every event and calibrated colour estimation, converting raw capture into structured signals. The Bristol Stool Scale turns a subjective description into an objective, trackable classification.

7
Bristol types
<3s
capture to insight
14-day
trend window
0
effort required

Why explainability matters

A score nobody understands is a score nobody acts on. Every insight about stool analysis pairs with its contributing features, time window and a plain-language rationale.

  • Bristol type of every event
  • Calibrated colour estimation
  • Frequency and rhythm over time
The test you take every day beats the perfect test you take once a year.
LUXOSMT Clinical Research

Human in the loop

The aim is not to replace clinical judgement but to feed it better, earlier, more objective data about stool analysis.

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