AIMC Topic: Pancreatitis

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AI-powered innovations in pancreatitis imaging: a comprehensive literature synthesis.

Abdominal radiology (New York) Aug 12, 2024
Early identification of pancreatitis remains a significant clinical diagnostic challenge that impacts patient outcomes. The evolution of quantitative imaging followed by deep learning models has shown great promise in the non-invasive diagnosis of pa...
Humans Artificial Intelligence Diagnostic Imaging Image Interpretation, Computer-Assisted Early Diagnosis Pancreatitis
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Application Value of the Automated Machine Learning Model Based on Modified Computed Tomography Severity Index Combined With Serological Indicators in the Early Prediction of Severe Acute Pancreatitis.

Journal of clinical gastroenterology Aug 1, 2024
BACKGROUND AND AIMS: Machine learning (ML) algorithms are widely applied in building models of medicine due to their powerful studying and generalizing ability. To assess the value of the Modified Computed Tomography Severity Index (MCTSI) combined w...
Tomography, X-Ray Computed Female Aged Adult Algorithms Biomarkers Retrospective Studies Logistic Models Predictive Value of Tests Acute Disease Pancreatitis Male Middle Aged Severity of Illness Index ROC Curve Humans Machine Learning
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Prediction of in-hospital Mortality of Intensive Care Unit Patients with Acute Pancreatitis Based on an Explainable Machine Learning Algorithm.

Journal of clinical gastroenterology Jul 1, 2024
BACKGROUND AND AIM: Acute pancreatitis (AP) is potentially fatal. Therefore, early identification of patients at a high mortality risk and timely intervention are essential. This study aimed to establish an explainable machine-learning model for pred...
Female Aged Adult Male Humans Machine Learning Algorithms Intensive Care Units Hospital Mortality Middle Aged ROC Curve Risk Assessment Bayes Theorem Severity of Illness Index Pancreatitis
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A deep learning-powered diagnostic model for acute pancreatitis.

BMC medical imaging Jun 20, 2024
BACKGROUND: Acute pancreatitis is one of the most common diseases requiring emergency surgery. Rapid and accurate recognition of acute pancreatitis can help improve clinical outcomes. This study aimed to develop a deep learning-powered diagnostic mod...
Middle Aged Deep Learning Acute Disease Pancreatitis Aged Adult Male Humans Retrospective Studies Tomography, X-Ray Computed Female
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Early prediction of acute gallstone pancreatitis severity: a novel machine learning model based on CT features and open access online prediction platform.

Annals of medicine May 30, 2024
BACKGROUND: Early diagnosis of acute gallstone pancreatitis severity (GSP) is challenging in clinical practice. We aimed to investigate the efficacy of CT features and radiomics for the early prediction of acute GSP severity.
Early Diagnosis Pancreatitis Gallstones Severity of Illness Index ROC Curve Predictive Value of Tests Acute Disease Adult Male Middle Aged Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged
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Duodenal papilla radiomics-based prediction model for post-ERCP pancreatitis using machine learning: a retrospective multicohort study.

Gastrointestinal endoscopy Apr 6, 2024
BACKGROUND AND AIMS: The duodenal papillae are the primary and essential pathway for ERCP, greatly determining its complexity and outcome. We investigated the association between papilla morphology and post-ERCP pancreatitis (PEP) and constructed a r...
Predictive Value of Tests Cholangiopancreatography, Endoscopic Retrograde Pancreatitis Ampulla of Vater Male Middle Aged Deep Learning ROC Curve Aged Adult Radiomics Humans Machine Learning Retrospective Studies Female
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Multistep validation of a post-ERCP pancreatitis prediction system integrating multimodal data: a multicenter study.

Gastrointestinal endoscopy Apr 5, 2024
BACKGROUND AND AIMS: The impact of various categories of information on the prediction of post-ERCP pancreatitis (PEP) remains uncertain. We comprehensively investigated the risk factors associated with PEP by constructing and validating a model inco...
Humans Machine Learning Algorithms Retrospective Studies Pancreatitis Aged Male Middle Aged Cholangiopancreatography, Endoscopic Retrograde Electronic Health Records Female Risk Factors
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Comparison of an interpretable extreme gradient boosting model and an artificial neural network model for prediction of severe acute pancreatitis.

Polish archives of internal medicine Mar 15, 2024
INTRODUCTION: Acute pancreatitis (AP) that progresses to persistent organ failure is referred to as severe acute pancreatitis (SAP). It is a condition associated with a relatively high mortality. A prediction model that would facilitate early recogni...
Prognosis Female Aged Adult Humans Male Neural Networks, Computer Middle Aged Acute Disease Pancreatitis
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Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning.

International journal of medical informatics Jan 20, 2024
OBJECTIVE: Aim to establish a multimodal model for predicting severe acute pancreatitis (SAP) using machine learning (ML) and deep learning (DL).
Deep Learning Humans Acute Disease Retrospective Studies Pancreatitis Radiomics
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Bioinformatics and Machine Learning Methods Identified MGST1 and QPCT as Novel Biomarkers for Severe Acute Pancreatitis.

Molecular biotechnology Jan 18, 2024
Severe acute pancreatitis (SAP) is a life-threatening gastrointestinal emergency. The study aimed to identify biomarkers and investigate molecular mechanisms of SAP. The GSE194331 dataset from GEO database was analyzed using bioinformatics. Different...
Pancreatitis Machine Learning Protein Interaction Maps Humans Biomarkers Gene Regulatory Networks Gene Expression Profiling Computational Biology Glutathione Transferase
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