Achalasia subtypes can be identified with functional luminal imaging probe (FLIP) panometry using a supervised machine learning process

Using a supervised machine learning process, a preliminary model was developed that distinguished type III achalasia from non-spastic achalasia with FLIP panometry. Further refinement of the measurements and more experience (data) may improve its ability for clinically relevant application.