Correspondence to Author: Ahmed Abdallah Salman, MD¹ , Ahmed Marwan, MD ² , Ahmed Abdallah, MD ³ , Ahmed Elewa, MD ⁴. 

Internal Medicine Department, Faculty of medicine, Cairo University, Egypt.
Internal Medicine Department, Faculty of Medicine, Mansoura University, Egypt.
General Surgery Department, Faculty of Medicine, Cairo University, Egypt.
General Surgery Department, National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt.

DOI: 10.52338/jjogastro.2026.5868

Abstract:

Esophageal motility disorders are important causes of dysphagia, regurgitation, non-cardiac chest pain, and refractory reflux-like symptoms. High-resolution manometry (HRM) remains the reference standard for esophageal motility assessment, while functional lumen imaging probe (FLIP) panometry provides complementary information on esophagogastric junction opening, distensibility, and distension-induced contractile responses during endoscopy. However, both techniques require technical expertise, standardized acquisition, and careful interpretation within the clinical context. Artificial intelligence (AI) may help address these challenges by supporting study quality control, artefact detection, swallow selection, automated pattern recognition, FLIP contractile-response classification, and structured reporting. Early studies suggest that AI can assist with HRM and FLIP interpretation and may reduce interobserver variability, improve workflow efficiency, and expand access to standardized motility assessment. Nevertheless, current evidence remains limited by retrospective designs, selected datasets, single-centre development, device-specific models, and insufficient prospective validation. AI should therefore be viewed as a clinician-supervised decision-support tool rather than an autonomous diagnostic authority. Future research should focus on multicentre validation, explainable outputs, standardized data acquisition, integration with endoscopy and radiology, and evaluation of real-world clinical impact.

Keywords: Artificial intelligence; Esophageal motility; High-resolution manometry; FLIP panometry..

Citation:

Dr. Ahmed Abdallah Salman, Artificial Intelligence In Esophageal Motility Diagnostics: Automated Interpretation Of HighResolution Manometry And Flip Panometry. Japanese Journal of Gastroenterology 2026.