AIMC Topic: Pancreatitis

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A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.

PLoS medicine Feb 24, 2025
BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient triage) and to advance personalized medicine. However, such a prognostic tool is lacking for acute pancreatitis (AP). Increasingly machine learning (M...
Humans Pancreatitis Machine Learning Prognosis Reproducibility of Results Acute Disease
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Resveratrol in animal models of pancreatitis and pancreatic cancer: A systematic review with machine learning.

Phytomedicine : international journal of phytotherapy and phytopharmacology Feb 23, 2025
BACKGROUND: Resveratrol (RES), a common type of plant polyphenols, has demonstrated promising therapeutic efficacy and safety in animal models of pancreatitis and pancreatic cancer. However, a comprehensive analysis of these data is currently unavail...
Pancreatic Neoplasms Machine Learning Pancreatitis Animals Humans Resveratrol Antioxidants Disease Models, Animal
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Impact of Sepsis Onset Timing on All-Cause Mortality in Acute Pancreatitis: A Multicenter Retrospective Cohort Study.

Journal of intensive care medicine Feb 18, 2025
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have examined how sepsis and its onset timing affect mortality in AP. This study evaluates the association between sepsis occurrence and all-cause mortality ...
Female Risk Factors Aged Adult Hospital Mortality Humans Male Propensity Score Acute Disease Retrospective Studies Middle Aged Kaplan-Meier Estimate Intensive Care Units Sepsis Pancreatitis Time Factors
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Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus.

Scientific reports Jan 15, 2025
This study sought to establish and validate an interpretable CT radiomics-based machine learning model capable of predicting post-acute pancreatitis diabetes mellitus (PPDM-A), providing clinicians with an effective predictive tool to aid patient man...
Humans Machine Learning Algorithms Adult Radiomics Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Female Aged Diabetes Mellitus Acute Disease Pancreatitis
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Interpretable prediction of 30-day mortality in patients with acute pancreatitis based on machine learning and SHAP.

BMC medical informatics and decision making Nov 5, 2024
BACKGROUND: Severe acute pancreatitis (SAP) can be fatal if left unrecognized and untreated. The purpose was to develop a machine learning (ML) model for predicting the 30-day all-cause mortality risk in SAP patients and to explain the most important...
Pancreatitis Aged Adult Male Middle Aged Humans Machine Learning Prognosis Female
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Association Between Body Composition Measured by Artificial Intelligence and Long-Term Sequelae After Acute Pancreatitis.

Digestive diseases and sciences Oct 22, 2024
BACKGROUND/OBJECTIVES: The clinical utility of body composition in the development of complications of acute pancreatitis (AP) remains unclear. We aimed to describe the associations between body composition and the recurrence of AP.
Pancreatitis, Chronic Acute Disease Body Composition Recurrence Pancreatitis Tomography, X-Ray Computed Female Risk Factors Aged Adult Male Middle Aged Diabetes Mellitus Humans Artificial Intelligence Retrospective Studies
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Machine learning predicts acute respiratory failure in pancreatitis patients: A retrospective study.

International journal of medical informatics Sep 14, 2024
PURPOSE: The purpose of the research is to design an algorithm to predict the occurrence of acute respiratory failure (ARF) in patients with acute pancreatitis (AP).
Humans Machine Learning Algorithms Male Retrospective Studies Acute Disease Middle Aged Female Bayes Theorem ROC Curve Aged Respiratory Insufficiency Logistic Models Adult Pancreatitis
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Meta-analysis of the effectiveness of early endoscopic treatment of Acute biliary pancreatitis based on lightweight deep learning model.

BMC gastroenterology Aug 28, 2024
BACKGROUND: Acute biliary pancreatitis (ABP) is a clinical common acute abdomen. After the first pancreatitis, relapse rate is high, which seriously affects human life and health and causes great economic burdens to family and society. According to a...
Acute Disease Cholangiopancreatography, Endoscopic Retrograde Humans Time-to-Treatment Deep Learning Pancreatitis Length of Stay Treatment Outcome Operative Time
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Development and internal validation of an artificial intelligence-assisted bowel sounds auscultation system to predict early enteral nutrition-associated diarrhoea in acute pancreatitis: a prospective observational study.

British journal of hospital medicine (London, England : 2005) Aug 19, 2024
An artificial intelligence-assisted prediction model for enteral nutrition-associated diarrhoea (ENAD) in acute pancreatitis (AP) was developed utilising data obtained from bowel sounds auscultation. This model underwent validation through a single-...
Middle Aged Diarrhea Risk Factors ROC Curve Enteral Nutrition Humans Aged Predictive Value of Tests Pancreatitis Adult Artificial Intelligence Auscultation Male Prospective Studies Female
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Development and validation of a machine learning-based, point-of-care risk calculator for post-ERCP pancreatitis and prophylaxis selection.

Gastrointestinal endoscopy Aug 13, 2024
BACKGROUND AND AIMS: A robust model of post-ERCP pancreatitis (PEP) risk is not currently available. We aimed to develop a machine learning-based tool for PEP risk prediction to aid in clinical decision making related to periprocedural prophylaxis se...
Stents Cholangiopancreatography, Endoscopic Retrograde Pancreatitis Pancreatic Ducts Administration, Rectal ROC Curve Anti-Inflammatory Agents, Non-Steroidal Area Under Curve Fluid Therapy Point-of-Care Systems Female Middle Aged Risk Factors Risk Assessment Humans Aged Pilot Projects Machine Learning Male Prospective Studies Clinical Decision-Making
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