AI Medical Compendium Journal:
Alimentary pharmacology & therapeutics

Showing 1 to 8 of 8 articles

Development and Validation of a Multimodal Machine Learning Model for Diagnosing and Assessing Risk of Crohn's Disease in Patients With Perianal Fistula.

Alimentary pharmacology & therapeutics Dec 18, 2024
BACKGROUND: Diagnosis of Crohn's disease (CD) can pose challenges, particularly when perianal fistula is the initial presentation.
Young Adult Adult Male Female Risk Factors Magnetic Resonance Imaging Crohn Disease Rectal Fistula Middle Aged Risk Assessment China Humans Machine Learning Retrospective Studies
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Identification of four novel acute-on-chronic liver failure clusters with distinct clinical trajectories and mortality using machine learning methods.

Alimentary pharmacology & therapeutics Sep 23, 2024
BACKGROUND AND AIMS: Machine learning (ML) can identify the hidden patterns without hypothesis in heterogeneous diseases like acute-on-chronic live failure (ACLF). We employed ML to describe and predict yet unknown clusters in ACLF.
Machine Learning Algorithms Prognosis Humans Latent Class Analysis Cluster Analysis Acute-On-Chronic Liver Failure Male Middle Aged Severity of Illness Index Female Adult
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AutoFibroNet: A deep learning and multi-photon microscopy-derived automated network for liver fibrosis quantification in MAFLD.

Alimentary pharmacology & therapeutics Jul 4, 2023
BACKGROUND: Liver fibrosis is the strongest histological risk factor for liver-related complications and mortality in metabolic dysfunction-associated fatty liver disease (MAFLD). Second harmonic generation/two-photon excitation fluorescence (SHG/TPE...
Liver Cirrhosis Liver Biopsy Adult Deep Learning Non-alcoholic Fatty Liver Disease Microscopy Humans
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Systematic review with meta-analysis: artificial intelligence in the diagnosis of oesophageal diseases.

Alimentary pharmacology & therapeutics Jan 30, 2022
BACKGROUND: Artificial intelligence (AI) has recently been applied to endoscopy and questionnaires for the evaluation of oesophageal diseases (ODs).
Artificial Intelligence Endoscopy ROC Curve Odds Ratio Gastroesophageal Reflux Humans
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Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.

Alimentary pharmacology & therapeutics Feb 13, 2019
BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have an increased risk of recurring ulcer complications.
Helicobacter Infections Helicobacter pylori Gastrointestinal Hemorrhage Duodenal Ulcer Recurrence Stomach Ulcer Middle Aged Cohort Studies Follow-Up Studies Adult Male Retrospective Studies Humans Female Machine Learning Aged Prospective Studies
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Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.

Alimentary pharmacology & therapeutics Jun 6, 2017
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in developed countries and is an increasingly important cause of hepatocellular carcinoma. Electronic medical records facilitate large-scale epidemiologic...
Alanine Transaminase Lipoproteins, HDL Triglycerides Non-alcoholic Fatty Liver Disease Anthropometry Female Adult Humans Sensitivity and Specificity Middle Aged Cross-Sectional Studies Machine Learning ROC Curve Male Logistic Models
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Letter: predictive model for gastric cancer after eradication of Helicobacter pylori-a survival analysis using a deep learning algorithm.

Alimentary pharmacology & therapeutics Aug 1, 2021
Helicobacter pylori Survival Analysis Stomach Neoplasms Deep Learning Humans Helicobacter Infections Algorithms
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Letter: predictive model for gastric cancer after eradication of Helicobacter pylori-a survival analysis using a deep learning algorithm. Authors' reply.

Alimentary pharmacology & therapeutics Aug 1, 2021
Helicobacter pylori Survival Analysis Deep Learning Helicobacter Infections Humans Algorithms Anti-Bacterial Agents Stomach Neoplasms
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