Automated extraction of anorectal pressures from high-resolution manometry reports.

Mohamed ElWazirMisha GautamRahul MishraNicholas R OblizajekJohn W William BlackettAdil E Bharucha

Published in: Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society (2022)

Anorectal pressures can be accurately determined from pressure topography images in HR_ARM reports. In future, this reverse engineering approach can be harnessed to compile large HR_ARM datasets across centers and to uncover newer, potentially more useful summary rectoanal pressure variables.

Keyphrases

high resolution
deep learning
adverse drug
machine learning
convolutional neural network
high throughput
mass spectrometry
current status
optical coherence tomography
high speed
liquid chromatography