Case Study

CONSTRUCTION / QUALITY MONITORING

Leo Innovation Lab

›  AI based skin cancer detection

Challenge

Leo Innovation Lab wanted to develop an App giving users the opportunity to diagnose skin diseases based on a photo of skin. Being part of a healthcare company, it was imperative to Leo Innovation Lab that the suggested diagnostic results were within a specific certainty range, given by domain knowledge.

Business Value

Alvíss AI enables and quantifies uncertainty in the diagnoses which is imperative for predictions of images that are not within training samples (for example, photos that doesn’t contain skin). 

Our Solution

Using Alvíss AI built on Bayesian Deep Probabilistic Programming, accurate and uncertainty aware models were developed and tested for identification of skin diseases.

Alvíss AI requires much less data and extracts more information per data observation, contributing to better uncertainty estimation. This is a major improvement in the quality of the actual suggested diagnostic results compared to results based only on maximum likelihood where over confident predictions are abundant.