AIMC Topic: Esophageal Achalasia
Clear Filters Showing 1 to 6 of 6 articles
Comparison of measurement of integrated relaxation pressure by esophageal manometry with analysis of swallowing sounds with artificial intelligence in patients with achalasia.
Neurogastroenterology and motility
Oct 6, 2024
BACKGROUND: Esophageal motility disorders are mainly evaluated with high-resolution manometry (HRM) which is a time-consuming and uncomfortable procedure with potential adverse events. Acoustic characterization of the swallowing has the potential to ...
Achalasia phenotypes and prediction of peroral endoscopic myotomy outcomes using machine learning.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Dec 1, 2023
OBJECTIVES: High-resolution manometry (HRM) and esophagography are used for achalasia diagnosis; however, achalasia phenotypes combining esophageal motility and morphology are unknown. Moreover, predicting treatment outcomes of peroral endoscopic myo...
Robotic Myotomy and Partial Fundoplication for Achalasia.
Journal of visualized experiments : JoVE
Aug 11, 2023
Laparoscopic Heller myotomy is currently considered the standard definitive treatment of achalasia. With the advancements in technology, robotic Heller myotomy has emerged as an alternative approach to traditional laparoscopy due to three-dimensional...
Robotic redo Heller myotomy: how I do it?
Langenbeck's archives of surgery
May 18, 2022
BACKGROUND: Despite the high success rate associated with Heller myotomy in the treatment of primary achalasia, symptom persistence or relapse occurs in approximately 10-20% of patients. Unfortunately, the ideal treatment after failed myotomy is not ...
Heller myotomy perforation: robotic visualization decreases perforation rate and revisional surgery is a perforation risk.
Journal of robotic surgery
Sep 27, 2021
Minimally invasive surgery (MIS) has improved surgical access to the foregut. While the benefits of MIS versus open surgery are well accepted, the relative benefits of laparoscopic versus robotic approaches continue to be debated. Procedure-specific ...
Achalasia subtypes can be identified with functional luminal imaging probe (FLIP) panometry using a supervised machine learning process.
Neurogastroenterology and motility
Jul 1, 2020
BACKGROUND: Achalasia subtypes on high-resolution manometry (HRM) prognosticate treatment response and help direct management plan. We aimed to utilize parameters of distension-induced contractility and pressurization on functional luminal imaging pr...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823