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Published in 2022 at "Journal of Neurogastroenterology and Motility"
DOI: 10.5056/jnm21239
Abstract: Background/Aims This study aimed to develop a diagnostic tool using machine learning to apply functional luminal imaging probe (FLIP) panometry data to determine the probability of esophagogastric junction (EGJ) obstruction as determined using the Chicago…
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Keywords:
tool;
machine learning;
panometry;
obstruction ... See more keywords