AIMC Topic: Cardiac Surgical Procedures

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Deep learning for transesophageal echocardiography view classification.

Scientific reports Jan 2, 2024
Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex cardiac pathology and the management of cardiac surgery patients. A key limitation to the application of deep learning strategies to intraoperative and i...
Deep Learning Aortic Valve Cardiac Surgical Procedures Echocardiography, Transesophageal Humans Echocardiography
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Preoperative Delirium Risk Screening in Patients Undergoing a Cardiac Surgery: Results from the Prospective Observational FINDERI Study.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry Dec 29, 2023
OBJECTIVE: Postoperative delirium (POD) is a common complication of cardiac surgery that is associated with higher morbidity, longer hospital stay, cognitive decline, and mortality. Preoperative assessments may help to identify patients´ POD risk. Ho...
Postoperative Complications Surveys and Questionnaires Cardiac Surgical Procedures Humans Delirium Machine Learning Prospective Studies Male Geriatric Assessment Female Middle Aged Risk Factors Risk Assessment Aged
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Effect of Retrograde Autologous Priming on Coagulation Assessed by Rotation Thromboelastometry in Patients Undergoing Valvular Cardiac Surgery.

Journal of cardiothoracic and vascular anesthesia Dec 29, 2023
OBJECTIVES: To investigate the effect of retrograde autologous priming (RAP) on coagulation function using rotation thromboelastometry (ROTEM) in patients undergoing valvular cardiac surgery.
Rotation Thrombelastography Adult Humans Blood Coagulation Prospective Studies Cardiac Surgical Procedures Young Adult Cardiopulmonary Bypass
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A precise blood transfusion evaluation model for aortic surgery: a single-center retrospective study.

Journal of clinical monitoring and computing Dec 27, 2023
Cardiac aortic surgery is an extremely complicated procedure that often requires large volume blood transfusions during the operation. Currently, it is not possible to accurately estimate the intraoperative blood transfusion volume before surgery. Th...
Humans Machine Learning Aged Adult Male Middle Aged Algorithms Retrospective Studies Female Risk Factors Erythrocyte Transfusion Decision Trees Cardiac Surgical Procedures Aorta Intraoperative Care China Blood Loss, Surgical Blood Transfusion
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The Evolving Role of Machine Learning in the Analysis of Outcomes After Pediatric and Congenital Cardiac Surgery.

The Annals of thoracic surgery Dec 9, 2023
Humans Machine Learning Child Cardiac Surgical Procedures Heart Defects, Congenital
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Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

The Annals of thoracic surgery Dec 6, 2023
BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery and assess case-mix-adjusted performance after benchmark procedures. We exten...
Risk Assessment Hospital Mortality Europe Benchmarking Databases, Factual Retrospective Studies Female Male Cardiac Surgical Procedures Heart Defects, Congenital Humans Machine Learning
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Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery.

The Journal of thoracic and cardiovascular surgery Nov 29, 2023
BACKGROUND: The clinical applicability of machine learning predictions of patient outcomes following cardiac surgery remains unclear. We applied machine learning to predict patient outcomes associated with high morbidity and mortality after cardiac s...
Stroke Cardiac Surgical Procedures Venous Thromboembolism Aged Male Middle Aged Risk Assessment Postoperative Complications Treatment Outcome Predictive Value of Tests Decision Support Techniques Postoperative Hemorrhage Humans Databases, Factual Machine Learning Female Risk Factors
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Can machine learning provide preoperative predictions of biological hemostasis after extracorporeal circulation for cardiac surgery?

The Journal of thoracic and cardiovascular surgery Nov 4, 2023
OBJECTIVES: The goal of this study was to improve decision making regarding the transfusion of patients at the end of extracorporeal circulation for cardiac surgery through machine learning predictions of the evolution of platelets counts, prothrombi...
Platelet Count Hemostasis Cardiac Surgical Procedures Extracorporeal Circulation Fibrinogen Clinical Decision-Making Female Aged Male Middle Aged Treatment Outcome Blood Transfusion Predictive Value of Tests Humans Machine Learning Prospective Studies Biomarkers
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Commentary: Is machine learning needed to understand that heart failure is a risk in adult congenital cardiac surgery?

The Journal of thoracic and cardiovascular surgery Oct 14, 2023
Humans Machine Learning Risk Factors Adult Risk Assessment Cardiac Surgical Procedures Heart Failure Heart Defects, Congenital
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Impact of heart failure on reoperation in adult congenital heart disease: An innovative machine learning model.

The Journal of thoracic and cardiovascular surgery Sep 28, 2023
OBJECTIVES: The study objectives were to evaluate the association between preoperative heart failure and reoperative cardiac surgical outcomes in adult congenital heart disease and to develop a risk model for postoperative morbidity/mortality.
Reoperation Heart Defects, Congenital Female Risk Factors Adult Time Factors Male Treatment Outcome Cardiac Surgical Procedures Humans Heart Failure Machine Learning Middle Aged Retrospective Studies Risk Assessment Postoperative Complications
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