AIMC Topic: Decision Support Techniques

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Machine learning based prediction model for bile leak following hepatectomy for liver cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 20, 2024
OBJECTIVE: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.
Humans Risk Factors Anastomotic Leak Aged Cholangiocarcinoma Male Liver Neoplasms Middle Aged Carcinoma, Hepatocellular Machine Learning Risk Assessment Predictive Value of Tests Decision Support Techniques Hepatectomy Databases, Factual Retrospective Studies Female
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Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review.

BMC cardiovascular disorders Dec 20, 2024
INTRODUCTION: Congenital heart disease (CHD) represents the most common group of congenital anomalies, constitutes a significant contributor to the burden of non-communicable diseases, highlighting the critical need for improved risk assessment tools...
Female Infant, Newborn Risk Factors Young Adult Adult Male Risk Assessment Predictive Value of Tests Postoperative Complications Cardiac Surgical Procedures Infant Heart Defects, Congenital Time Factors Adolescent Child, Preschool Child Humans Treatment Outcome Artificial Intelligence Decision Support Techniques
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Machine learning to predict the decision to perform surgery in hepatic echinococcosis.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 19, 2024
BACKGROUND: Cystic echinococcosis (CE) is a significant public health issue, primarily affecting the liver. While several management strategies exist, there is a lack of predictive tools to guide surgical decisions for hepatic CE. This study aimed to...
Decision Trees Predictive Value of Tests Hepatectomy Echinococcosis, Hepatic Adult Male Middle Aged Risk Assessment Humans Decision Support Techniques Machine Learning Retrospective Studies Clinical Decision-Making Female Aged
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Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques.

BMC cardiovascular disorders Dec 19, 2024
BACKGROUND: Catheter ablation is a common treatment for atrial fibrillation (AF), but recurrence rates remain variable. Predicting the success of catheter ablation is crucial for patient selection and management. This research seeks to create a machi...
Iran Atrial Fibrillation Treatment Outcome Decision Support Techniques Catheter Ablation Longitudinal Studies Prospective Studies Recurrence Predictive Value of Tests Female Adult Registries Risk Factors Humans Male Aged Machine Learning Middle Aged Risk Assessment Time Factors
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Data-Driven Decision Support Tool Co-Development with a Primary Health Care Practice Based Learning Network.

F1000Research Dec 19, 2024
BACKGROUND: The Alliance for Healthier Communities is a learning health system that supports Community Health Centres (CHCs) across Ontario, Canada to provide team-based primary health care to people who otherwise experience barriers to care. This ca...
Humans Ontario Decision Support Techniques Learning Health System Decision Support Systems, Clinical Electronic Health Records Primary Health Care
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery Dec 13, 2024
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Artificial Intelligence Decision Support Techniques Prognosis Retrospective Studies Female Humans Predictive Value of Tests Middle Aged Aortic Aneurysm, Abdominal Risk Assessment Computed Tomography Angiography Case-Control Studies Aortography Decision Trees Aortic Rupture Denmark
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Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 12, 2024
BACKGROUND: Stroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Add...
Hemorrhagic Stroke Healthcare-Associated Pneumonia Predictive Value of Tests Ischemic Stroke Registries Stroke Machine Learning Decision Support Techniques Prognosis Female Risk Factors Aged Aged, 80 and over Male Middle Aged Humans Risk Assessment
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Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation.

Trends in cardiovascular medicine Dec 7, 2024
Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological disorders and is the most common heart arrhythmia worldwide, affecting 2 % of the European population. This prevalence increases with age, imposing signif...
Humans Artificial Intelligence Machine Learning Recovery of Function Predictive Value of Tests Stroke Atrial Fibrillation Stroke Rehabilitation Decision Support Techniques Precision Medicine Risk Factors Risk Assessment Treatment Outcome
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Research on intelligent decision support systems for oil and gas exploration based on machine learning.

PloS one Dec 5, 2024
The process of extracting oil and gas via borehole drilling is largely dependent on subsurface structures, and thus, well log analysis is a major concern for economic feasibility. Well logs are essential for understanding the geology below the earth'...
Algorithms Neural Networks, Computer Decision Support Techniques Machine Learning Petroleum
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Leveraging a Vision Transformer Model to Improve Diagnostic Accuracy of Cardiac Amyloidosis With Cardiac Magnetic Resonance.

JACC. Cardiovascular imaging Dec 4, 2024
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is an important diagnostic tool for diagnosis of cardiac amyloidosis (CA). However, discrimination of CA from other etiologies of myocardial disease can be challenging.
Contrast Media Diagnosis, Differential Predictive Value of Tests Myocardium Reproducibility of Results Humans Cardiomyopathy, Hypertrophic Image Interpretation, Computer-Assisted Decision Support Techniques Amyloidosis Aged Cardiomyopathies Retrospective Studies Male Magnetic Resonance Imaging, Cine Female Middle Aged Deep Learning
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