Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease
暂无分享,去创建一个
Benjamin D. Rogers | E. Savarino | S. Roman | C. Gyawali | D. Sifrim | Kevan Ghobadi | Sabyasachi Samanta | Amit Patel
[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.