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Endarterectomy, Carotid

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A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery 32653616
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Administration, Intravenous Adult Aged Aged, 80 and over Antihypertensive Agents Blood Pressure Carotid Stenosis Cerebrovascular Circulation Cerebrovascular Disorders Databases, Factual Decision Support Techniques Endarterectomy, Carotid Female Humans Hypertension Machine Learning Male Middle Aged Predictive Value of Tests Retrospective Studies Risk Assessment Risk Factors Time Factors Treatment Outcome Vasodilator Agents
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Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis.

Portuguese journal of cardiac thoracic and vascular surgery 39820882
INTRODUCTION: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degenerative disease, commonly described as atherosclerotic plaque accumulation, significantly contributes to this, posing a risk for cerebrovascular events...
Artificial Intelligence Carotid Stenosis Endarterectomy, Carotid Humans Machine Learning Risk Assessment
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Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.

Annals of vascular surgery 39580028
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered ...
Aged Aged, 80 and over Carotid Stenosis Case-Control Studies Decision Support Techniques Endarterectomy, Carotid Female Humans Intraoperative Neurophysiological Monitoring Machine Learning Male Middle Aged Neurologic Examination Predictive Value of Tests Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors Treatment Outcome Wakefulness
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