AIMC Topic: Decision Support Techniques

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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...
Catheter Ablation Female Recurrence Risk Factors Aged Adult Male Humans Longitudinal Studies Machine Learning Predictive Value of Tests Decision Support Techniques Registries Prospective Studies Middle Aged Iran Atrial Fibrillation Risk Assessment Time Factors Treatment Outcome
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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...
Ontario Learning Health System Humans Decision Support Systems, Clinical Decision Support Techniques 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 Predictive Value of Tests Humans Aged, 80 and over Decision Support Techniques Aortic Aneurysm, Abdominal Middle Aged Male Artificial Intelligence Prognosis Computed Tomography Angiography Retrospective Studies Aortography Female Risk Assessment Aortic Rupture Case-Control Studies Decision Trees 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...
Aged, 80 and over Male Middle Aged Risk Assessment Predictive Value of Tests Ischemic Stroke Registries Stroke Decision Support Techniques Hemorrhagic Stroke Healthcare-Associated Pneumonia Prognosis Female Risk Factors Aged Humans Machine Learning
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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...
Recovery of Function Predictive Value of Tests Decision Support Techniques Stroke Humans Atrial Fibrillation Precision Medicine Artificial Intelligence Stroke Rehabilitation Risk Factors Machine Learning 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.
Cardiomyopathy, Hypertrophic Amyloidosis Cardiomyopathies Magnetic Resonance Imaging, Cine Contrast Media Diagnosis, Differential Predictive Value of Tests Myocardium Humans Image Interpretation, Computer-Assisted Aged Decision Support Techniques Male Retrospective Studies Middle Aged Female Deep Learning Reproducibility of Results
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Artificial Intelligence-Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases.

Journal of vascular and interventional radiology : JVIR Dec 3, 2024
PURPOSE: To develop a machine learning algorithm to improve hepatic resection selection for patients with metastatic colorectal cancer (CRC) by predicting post-portal vein embolization (PVE) outcomes.
Colorectal Neoplasms Male Middle Aged Liver Neoplasms Treatment Outcome Female Reproducibility of Results Aged Adult Patient-Specific Modeling Liver Regeneration Predictive Value of Tests Patient Selection Hepatectomy Embolization, Therapeutic Portal Vein Humans Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making
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Predicting high-flow arteriovenous fistulas and cardiac outcomes in hemodialysis patients.

Journal of vascular surgery Dec 2, 2024
BACKGROUND: Heart failure is common in patients receiving hemodialysis. A high-flow arteriovenous fistula (AVF) may represent a modifiable risk factor for heart failure and death. Currently, no tools exist to assess the risk of developing a high-flow...
Humans Machine Learning Decision Support Techniques Treatment Outcome Australia Predictive Value of Tests Heart Failure Regional Blood Flow Blood Flow Velocity Arteriovenous Shunt, Surgical Male Middle Aged Risk Assessment Retrospective Studies Renal Dialysis Female Time Factors Risk Factors Aged
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Fuzzy set-based decision support system for hydrogen sulfide removal technology selection in natural gas processing: a sustainability and efficiency perspective.

Environmental monitoring and assessment Nov 28, 2024
Removing hydrogen sulfide (HS) toxic and corrosive gas from the natural gas processing and utilization industry is a challenging problem for managers of these industries. This problem involves different economic, environmental, and health issues. Var...
Decision Support Techniques Fuzzy Logic Air Pollutants Air Pollution Natural Gas Hydrogen Sulfide
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