Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease

[1]  E. Savarino,et al.  Normal values and regional differences in oesophageal impedance-pH metrics: a consensus analysis of impedance-pH studies from around the world , 2020, Gut.

[2]  Benjamin D. Rogers,et al.  INTER-REVIEWER VARIABILITY IN INTERPRETATION OF pH-IMPEDANCE STUDIES: THE WINGATE CONSENSUS. , 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[3]  Benjamin D. Rogers,et al.  Higher Esophageal Symptom Burden in Obese Subjects Results From Increased Esophageal Acid Exposure and Not From Dysmotility. , 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[4]  D. Sifrim,et al.  Measurement of Esophageal Nocturnal Baseline Impedance: A Simplified Method , 2020, Journal of neurogastroenterology and motility.

[5]  E. Savarino,et al.  Mean Nocturnal Baseline Impedance Correlates with Symptom Outcome When Acid Exposure Time is Inconclusive on Esophageal Reflux Monitoring. , 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[6]  J. S. Kim,et al.  Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations. , 2020, Gastroenterology.

[7]  K. Ohtsuka,et al.  Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients with Ulcerative Colitis. , 2020, Gastroenterology.

[8]  E. Savarino,et al.  Modern diagnosis of GERD: the Lyon Consensus , 2018, Gut.

[9]  C. Gyawali,et al.  Distal mean nocturnal baseline impedance on pH‐impedance monitoring predicts reflux burden and symptomatic outcome in gastro‐oesophageal reflux disease , 2016, Alimentary pharmacology & therapeutics.

[10]  C. Gyawali,et al.  Parameters on esophageal pH-impedance monitoring that predict outcomes of patients with gastroesophageal reflux disease. , 2015, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[11]  E. Savarino,et al.  Esophageal baseline impedance levels in patients with pathophysiological characteristics of functional heartburn , 2014, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

[12]  B. Ohlsson,et al.  Development and psychometric testing of the Visual Analogue Scale for Irritable Bowel Syndrome (VAS-IBS) , 2007, BMC gastroenterology.

[13]  J. Dent,et al.  Gastro-oesophageal reflux monitoring: review and consensus report on detection and definitions of acid, non-acid, and gas reflux , 2004, Gut.

[14]  J. Silny,et al.  Patterns of gas and liquid reflux during transient lower oesophageal sphincter relaxation: a study using intraluminal electrical impedance , 1999, Gut.

[15]  C. Gyawali Redeeming Clinical Value of Esophageal pH Impedance Monitoring. , 2016, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[16]  E. Savarino,et al.  Analyses of the Post-reflux Swallow-induced Peristaltic Wave Index and Nocturnal Baseline Impedance Parameters Increase the Diagnostic Yield of Impedance-pH Monitoring of Patients With Reflux Disease. , 2016, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[17]  G. Guyatt,et al.  A comparison of Likert and visual analogue scales for measuring change in function. , 1987, Journal of chronic diseases.