AI Medical Compendium Journal:
The American journal of gastroenterology

Showing 21 to 30 of 30 articles

Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Patient Readmission Gastrointestinal Hemorrhage Proton Pump Inhibitors Infections Hydrothorax Ascites Gastrointestinal Agents Water-Electrolyte Imbalance beta-Lactams Adrenergic beta-Antagonists Clinical Decision Rules End Stage Liver Disease Rifaximin Hepatic Encephalopathy Paracentesis Mortality Lactulose Female Reproducibility of Results Aged Male Logistic Models Middle Aged Liver Cirrhosis Severity of Illness Index Support Vector Machine Cohort Studies Kidney Diseases Humans ROC Curve Machine Learning Anti-Bacterial Agents
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Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.

The American journal of gastroenterology Jan 1, 2021
INTRODUCTION: Chronic constipation is classified into 2 main syndromes, irritable bowel syndrome with constipation (IBS-C) and functional constipation (FC), on the assumption that they differ along multiple clinical characteristics and are plausibly ...
Humans Female Adult Principal Component Analysis Abdominal Pain Supervised Machine Learning Constipation Cost of Illness Male Middle Aged Cohort Studies Chronic Disease Irritable Bowel Syndrome
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Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit.

The American journal of gastroenterology Oct 1, 2020
INTRODUCTION: Acute gastrointestinal (GI) bleed is a common reason for hospitalization with 2%-10% risk of mortality. In this study, we developed a machine learning (ML) model to calculate the risk of mortality in intensive care unit patients admitte...
Gastrointestinal Hemorrhage Risk Assessment ROC Curve Area Under Curve APACHE Humans Machine Learning Intensive Care Units Female Aged Aged, 80 and over Male Middle Aged
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Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data.

The American journal of gastroenterology Aug 1, 2020
Risk assessment tools for patients with gastrointestinal bleeding may be used for determining level of care and informing management decisions. Development of models that use data from electronic health records is an important step for future deploym...
Retrospective Studies Humans Intensive Care Units Machine Learning Electronic Health Records Prognosis Gastrointestinal Hemorrhage
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Automated Measurements of Muscle Mass Using Deep Learning Can Predict Clinical Outcomes in Patients With Liver Disease.

The American journal of gastroenterology Aug 1, 2020
INTRODUCTION: There is increasing recognition of the central role of muscle mass in predicting clinical outcomes in patients with liver disease. Muscle size can be extracted from computed tomography (CT) scans, but clinical implementation will requir...
Muscle, Skeletal Humans Predictive Value of Tests Algorithms Middle Aged Prospective Studies Fibrosis Tomography, X-Ray Computed Michigan Deep Learning Young Adult Adolescent Adult Cohort Studies Female Male Aged
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Using Computer-Aided Polyp Detection During Colonoscopy.

The American journal of gastroenterology Jul 1, 2020
Humans Artificial Intelligence Sensitivity and Specificity Colonoscopy Diagnosis, Computer-Assisted Colonic Polyps
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Use of Artificial Intelligence to Reduce Radiation Exposure at Fluoroscopy-Guided Endoscopic Procedures.

The American journal of gastroenterology Apr 1, 2020
OBJECTIVES: Exposure to ionizing radiation remains a hazard for patients and healthcare providers. We evaluated the utility of an artificial intelligence (AI)-enabled fluoroscopy system to minimize radiation exposure during image-guided endoscopic pr...
Scattering, Radiation Radiation Exposure Radiation Protection Male Middle Aged Endoscopy, Gastrointestinal Fluoroscopy Artificial Intelligence Prospective Studies Female Aged Humans
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Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help.

The American journal of gastroenterology Jan 1, 2020
Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperp...
Colonic Polyps Humans Artificial Intelligence Practice Guidelines as Topic Colonoscopy Colon Narrow Band Imaging Decision Making Rectum Disease Management
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Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.

The American journal of gastroenterology Jan 1, 2020
OBJECTIVES: Reliable in situ diagnosis of diminutive (≤5 mm) colorectal polyps could allow for "resect and discard" and "diagnose and leave" strategies, resulting in $1 billion cost savings per year in the United States alone. Current methodologies h...
Algorithms Forecasting Colorectal Neoplasms Point-of-Care Systems Adenoma Colonoscopy Humans Colonic Polyps Predictive Value of Tests Deep Learning Narrow Band Imaging Time Factors Population Surveillance
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Artificial Intelligence-Assisted Gastroenterology- Promises and Pitfalls.

The American journal of gastroenterology Mar 1, 2019
Technological advances in artificial intelligence (AI) represent an enticing opportunity to benefit gastroenterological practice. Moreover, AI, through machine or deep learning, permits the ability to develop predictive models from large datasets. Po...
Image Interpretation, Computer-Assisted Precision Medicine Humans Gastroenterology Deep Learning Neural Networks, Computer Endoscopy, Gastrointestinal Artificial Intelligence Machine Learning
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