Surgical Risk Calculator: POTTER
A highly accurate and understandable risk predictor trusted by top surgeons
Surgical risk is not linear
Given the wealth of data available, data-driven risk estimates can augment a surgeon's intuition. The existing tool is a calculator that requires the surgeon to enter 20+ variables and returns a single predicted risk value with no additional context. This calculator is based on logistic regression and as a result the patient's risk factors are used to make predictions linearly and independently, without any interaction between different risk factors.
NSQIP Surgical Risk Calculator based on logistic regression
Easy to use and understand
Validated by domain experts
Our analysis was presented at the American Surgical Association's 138th Annual Meeting and published in Annals of Surgery, a top surgical journal.
Part of the Optimal Decision Tree predicting mortality after surgery.
Used and tested across the world
- Improved quality in physician decision making
- Better patient counseling
- Training tool for residents and junior doctors
Why is the Interpretable AI solution unique?
Ability to capture clinically-relevant interactions between variables
The superior modeling power of Optimal Trees allows capturing non-linear effects without sacrificing interpretability
Simplicity and interpretability of calculator
A simple user interface is backed up by transparent evidence that doctors can trust and use with ease