AIMC Topic: Stomach
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A Deep Convolutional Neural Network Approach to Classify Normal and Abnormal Gastric Slow Wave Initiation From the High Resolution Electrogastrogram.
IEEE transactions on bio-medical engineering
Jun 12, 2019
OBJECTIVE: Gastric slow wave abnormalities have been associated with gastric motility disorders. Invasive studies in humans have described normal and abnormal propagation of the slow wave. This study aims to disambiguate the abnormally functioning wa...
Applications of deep learning for the analysis of medical data.
Archives of pharmacal research
May 28, 2019
Over the past decade, deep learning has demonstrated superior performances in solving many problems in various fields of medicine compared with other machine learning methods. To understand how deep learning has surpassed traditional machine learning...
Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks.
Journal of healthcare engineering
Jun 21, 2018
Deep learning using convolutional neural networks (CNNs) is a distinguished tool for many image classification tasks. Due to its outstanding robustness and generalization, it is also expected to play a key role to facilitate advanced computer-aided d...
Triple-stapled quadrilateral anastomosis: a new technique for creation of an esophagogastric anastomosis.
Esophagus : official journal of the Japan Esophageal Society
Dec 16, 2017
BACKGROUND: Esophagogastric anastomosis performed after esophagectomy is technically complex and often the source of postoperative complications. The best technique for this anastomosis remains a matter of debate. We describe a new all-stapled side-t...
Ultrasound-Assessed Gastric Antral Area Correlates With Aspirated Tube Feed Volume in Enterally Fed Critically Ill Patients.
Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition
Dec 16, 2016
BACKGROUND: Enteral tube feed (ETF) intolerance occurs frequently in hospitalized patients and more so in critically ill patients. Most critical care nurses continue to assess gastric residual volume (GRV), especially among those with a history of ET...
Fatty acid composition and mechanisms of the protective effects of myrtle berry seed aqueous extract in alcohol-induced peptic ulcer in rat.
Canadian journal of physiology and pharmacology
Nov 10, 2016
This study aimed to investigate the antiulcer and antioxidant activities of myrtle berry seed aqueous extract (MBSAE) in a peptic ulcer model induced by ethanol in male Wistar rats. MBSAE is rich in total polyphenols, total flavonoids, and unsaturate...
Feed-forward neural network model for hunger and satiety related VAS score prediction.
Theoretical biology & medical modelling
Jul 7, 2016
BACKGROUND: An artificial neural network approach was chosen to model the outcome of the complex signaling pathways in the gastro-intestinal tract and other peripheral organs that eventually produce the satiety feeling in the brain upon feeding.
Swallowable, Remote- Controlled Robot Tours the Stomach, Transmits Live Video.
IEEE pulse
Jan 1, 2025
A pill-sized remote-operated vehicle that takes and transmits live video of the inside of a person's stomach could be on the market as early as 2026.
[Expert consensus on data acquisition and annotation of artificial intelligence assisted gastric histopathological diagnosis].
Zhonghua bing li xue za zhi = Chinese journal of pathology
Sep 8, 2024
Deep learning-based anatomical position recognition for gastroscopic examination.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: The gastroscopic examination is a preferred method for the detection of upper gastrointestinal lesions. However, gastroscopic examination has high requirements for doctors, especially for the strict position and quantity of the archived i...
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