One of the most fundamental inputs in gastroenterology—stool assessment—has long been built on subjective patient recall and crude categorization.
That’s now starting to change.
Dieta Health’s Stool Scan uses imaging AI to analyze stool in real time—capturing multiple variables like consistency, volume, color, and abnormalities—replacing the decades-old reliance on the Bristol Stool Chart and patient memory.
The problem it solves is deeper than it seems:
👉 GI care, research, and even drug trials have relied on subjective, inconsistent data
👉 Clinical decisions are often based on patient interpretation—not objective measurement
What AI introduces is a new layer:
- Objective, image-based stool analysis
- Continuous data capture (not episodic recall)
- Higher diagnostic precision and patient stratification
And the implications are significant:
👉 Better data → better segmentation → more personalized treatment