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Duodenal Ulcer

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Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.

Gastrointestinal endoscopy 30670179
BACKGROUND AND AIMS: Although erosions and ulcerations are the most common small-bowel abnormalities found on wireless capsule endoscopy (WCE), a computer-aided detection method has not been established. We aimed to develop an artificial intelligence...
Adult Aged Aged, 80 and over Anti-Inflammatory Agents, Non-Steroidal Area Under Curve Capsule Endoscopy Deep Learning Duodenal Ulcer Female Humans Ileal Diseases Inflammatory Bowel Diseases Intestine, Small Jejunal Diseases Male Middle Aged Neural Networks, Computer Pattern Recognition, Automated Peptic Ulcer ROC Curve Sensitivity and Specificity Software Ulcer
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Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.

Alimentary pharmacology & therapeutics 30761584
BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have an increased risk of recurring ulcer complications.
Adult Aged Cohort Studies Duodenal Ulcer Female Follow-Up Studies Gastrointestinal Hemorrhage Helicobacter Infections Helicobacter pylori Humans Machine Learning Male Middle Aged Prospective Studies Recurrence Retrospective Studies Stomach Ulcer
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