AI Medical Compendium Journal:
Gastroenterology

Showing 31 to 40 of 43 articles

Regarding: Shung et al: Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Mar 19, 2020
Humans Machine Learning Gastrointestinal Hemorrhage
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RE: Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Mar 19, 2020
Gastrointestinal Hemorrhage Humans Machine Learning
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Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.

Gastroenterology Feb 29, 2020
BACKGROUND & AIMS: Narrow-band imaging (NBI) can be used to determine whether colorectal polyps are adenomatous or hyperplastic. We investigated whether an artificial intelligence (AI) system can increase the accuracy of characterizations of polyps b...
Deep Learning Clinical Competence Predictive Value of Tests Workflow Colorectal Neoplasms Colonoscopy Diagnosis, Computer-Assisted Visual Perception Seoul Adenomatous Polyps Narrow Band Imaging Colonic Polyps Image Interpretation, Computer-Assisted Observer Variation Hyperplasia Humans Reproducibility of Results
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Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.

Gastroenterology Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Wound Healing Colitis, Ulcerative Predictive Value of Tests Biopsy Deep Learning Adolescent Treatment Outcome Young Adult Remission Induction Female Adult Reproducibility of Results Male Image Interpretation, Computer-Assisted Aged Humans Middle Aged Aged, 80 and over Colon Databases, Factual Colonoscopy Prospective Studies Severity of Illness Index Diagnosis, Computer-Assisted
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Use of Artificial Intelligence-Based Analytics From Live Colonoscopies to Optimize the Quality of the Colonoscopy Examination in Real Time: Proof of Concept.

Gastroenterology Jan 13, 2020
Mass Screening Rectum Image Interpretation, Computer-Assisted Datasets as Topic Proof of Concept Study Colorectal Neoplasms Colon Colonoscopy Deep Learning Humans Prospective Studies
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Use of Endoscopic Impression, Artificial Intelligence, and Pathologist Interpretation to Resolve Discrepancies Between Endoscopy and Pathology Analyses of Diminutive Colorectal Polyps.

Gastroenterology Dec 18, 2019
Optical Imaging Humans Artificial Intelligence Decision Support Techniques Colorectal Neoplasms Colonoscopy Adenoma Colonic Polyps Image Interpretation, Computer-Assisted
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Application of Artificial Intelligence to Gastroenterology and Hepatology.

Gastroenterology Oct 5, 2019
Since 2010, substantial progress has been made in artificial intelligence (AI) and its application to medicine. AI is explored in gastroenterology for endoscopic analysis of lesions, in detection of cancer, and to facilitate the analysis of inflammat...
Humans Artificial Intelligence Prognosis Clinical Decision-Making Treatment Outcome Gastroenterology Diagnosis, Computer-Assisted Decision Trees Decision Support Systems, Clinical Liver Diseases Gastrointestinal Diseases
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Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
Emergency Service, Hospital Models, Biological Machine Learning Gastrointestinal Hemorrhage Prognosis Hemostatic Techniques Female Aged Middle Aged Humans Risk Assessment ROC Curve Blood Transfusion Aged, 80 and over Adult Male
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Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.

Gastroenterology Jun 25, 2019
BACKGROUND & AIMS: Capsule endoscopy has revolutionized investigation of the small bowel. However, this technique produces a video that is 8-10 hours long, so analysis is time consuming for gastroenterologists. Deep convolutional neural networks (CNN...
Predictive Value of Tests Image Interpretation, Computer-Assisted Observer Variation Capsule Endoscopy Intestine, Small Humans China Intestinal Diseases Prognosis Clinical Competence Gastroenterologists Retrospective Studies Diagnosis, Differential Reproducibility of Results Deep Learning
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Endoscopic Surveillance of Barrett's Esophagus Using Volumetric Laser Endomicroscopy With Artificial Intelligence Image Enhancement.

Gastroenterology May 9, 2019
Esophagoscopy Esophageal Mucosa Watchful Waiting Humans Esophageal Neoplasms Artificial Intelligence Barrett Esophagus Disease Progression Image Enhancement
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