AIMC Topic: Endovascular Procedures

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Predictive models of clinical outcome of endovascular treatment for anterior circulation stroke using machine learning.

Journal of neuroscience methods Jan 28, 2025
BACKGROUND AND PURPOSE: Mechanical Thrombectomy (MT) has recently become the standard of care for anterior circulation stroke with large vessel occlusion, but predictive factors of successful MT are still not clearly defined. To tailor treatment indi...
Stroke Outcome Assessment, Health Care Endovascular Procedures Thrombectomy Female Aged Aged, 80 and over Male Middle Aged Treatment Outcome Support Vector Machine Ischemic Stroke Registries Humans Machine Learning Prospective Studies
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Development and Validation of Machine Learning-Based Model for Hospital Length of Stay in Patients Undergoing Endovascular Interventional Embolization for Intracranial Aneurysms.

World neurosurgery Jan 27, 2025
OBJECTIVE: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning...
Adult Male Middle Aged Length of Stay Embolization, Therapeutic Humans Machine Learning Endovascular Procedures Retrospective Studies Aneurysm, Ruptured Female Aged Intracranial Aneurysm
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Endovascular robotics: technical advances and future directions.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Jan 21, 2025
Endovascular interventions excel in treating cardiovascular diseases in a minimally invasive manner, showing improved outcomes over open techniques. However, challenges related to precise navigation - still relying on 2D fluoroscopy - persist. This r...
Imaging, Three-Dimensional Humans Magnetic Resonance Imaging Cardiovascular Diseases Robotics Robotic Surgical Procedures Endovascular Procedures
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Machine learning validation of a simple prediction model for the correlation between advanced age and clinical outcomes in patients with aneurysmal subarachnoid hemorrhage.

Neurosurgical review Jan 14, 2025
Adverse effects of advanced age and poor initial neurological status on outcomes of patients with aneurysmal subarachnoid hemorrhage (SAH) have been documented. While a predictive model of the non-linear correlation between advanced age and clinical ...
Humans Machine Learning Female Aged Aged, 80 and over Treatment Outcome Age Factors Subarachnoid Hemorrhage Endovascular Procedures Adult Male Middle Aged Cohort Studies
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Prediction of Aneurysm Sac Shrinkage After Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

The Journal of surgical research Jan 9, 2025
INTRODUCTION: A simple risk stratification model to predict aneurysm sac shrinkagein patients undergoing endovascular aortic repair (EVAR) for abdominal aortic aneurysms (AAA) was developed using machine learning-based decision tree analysis.
Humans Treatment Outcome Decision Trees Aortic Aneurysm, Abdominal Pulse Wave Analysis Aged Smoking Aged, 80 and over Machine Learning Endovascular Procedures Male Retrospective Studies Endoleak Middle Aged Female Endovascular Aneurysm Repair Risk Assessment Risk Factors
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Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning met...
Endovascular Procedures Medical Futility Time Factors Treatment Outcome Predictive Value of Tests Clinical Decision-Making Ischemic Stroke Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Middle Aged Humans Risk Assessment Machine Learning Decision Support Techniques Databases, Factual Prospective Studies
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Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports.

Journal of vascular surgery Dec 16, 2024
OBJECTIVE: Participation in the Vascular Quality Initiative (VQI) provides important resources to surgeons, but the ability to do so is often limited by time and data entry personnel. Large language models (LLMs) such as ChatGPT (OpenAI) are examples...
Vascular Surgical Procedures Large Language Models Natural Language Processing Data Mining Humans Quality Improvement Databases, Factual Quality Indicators, Health Care Retrospective Studies Endovascular Procedures Electronic Health Records
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Prediction of Two Year Survival Following Elective Repair of Abdominal Aortic Aneurysms at A Single Centre Using A Random Forest Classification Algorithm.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Dec 9, 2024
OBJECTIVE: The decision to electively repair an abdominal aortic aneurysm (AAA) involves balancing the risk of rupture, peri-procedural death, and life expectancy. Random forest classifiers (RFCs) are powerful machine learning algorithms. The aim of ...
Risk Factors Aged Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Treatment Outcome Predictive Value of Tests Humans Aortic Aneurysm, Abdominal Machine Learning Elective Surgical Procedures Algorithms Random Forest Retrospective Studies Endovascular Procedures Female
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Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Nutritional Status Blood Vessel Prosthesis Implantation Endovascular Procedures Endovascular Aneurysm Repair Clinical Decision-Making Female Reproducibility of Results Risk Factors Time Factors Aged Aged, 80 and over Humans Treatment Outcome Male Machine Learning Decision Trees Middle Aged Decision Support Techniques Predictive Value of Tests Risk Assessment Retrospective Studies Aortic Aneurysm, Abdominal
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Components of Robotic Systems in Image-Guided Percutaneous Interventions.

Techniques in vascular and interventional radiology Nov 22, 2024
The field of interventional radiology is facing a growing demand for percutaneous procedures targeting smaller and more complex lesions. Percutaneous medical robots have proven to increase efficiency and accuracy and can address these issues. This re...
Humans Equipment Design Robotic Surgical Procedures Robotics Surgery, Computer-Assisted Radiography, Interventional Endovascular Procedures
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