Achalasia phenotypes and prediction of per-oral endoscopic myotomy outcomes using machine learning.
Kazuya TakahashiHiroki SatoYuto ShimamuraHirofumi AbeHironari ShiwakuJunya ShiotaChiaki SatoKenta HamadaMasaki OminamiYoshitaka HataHisashi FukudaRyo OgawaJun NakamuraTetsuya TatsutaYuichiro IkebuchiHiroshi YokomichiShuji TeraiHaruhiro InouePublished in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2023)
Achalasia phenotypes combining esophageal motility and morphology indicated multiple disease pathophysiologies. ML helped develop an optimal risk stratification model for persistent symptoms with novel insights into treatment resistance factors.