AIMC Topic: Cardiac Surgical Procedures

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Risk adjusted EWMA control chart based on support vector machine with application to cardiac surgery data.

Scientific reports Apr 26, 2024
In the current study, we demonstrate the use of a quality framework to review the process for improving the quality and safety of the patient in the health care department. The researchers paid attention to assessing the performance of the health car...
Cardiac Surgical Procedures Risk Adjustment Humans Risk Factors Support Vector Machine
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AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.

Sensors (Basel, Switzerland) Apr 4, 2024
In cardiac cine imaging, acquiring high-quality data is challenging and time-consuming due to the artifacts generated by the heart's continuous movement. Volumetric, fully isotropic data acquisition with high temporal resolution is, to date, intracta...
Heart Cardiac Volume Deep Learning Cardiac Surgical Procedures Artifacts
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Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Major adverse postoperative outcomes (APOs) can greatly affect mortality, hospital stay, care management and planning, and quality of life. This study aimed to evaluate the performance of five machine learning (ML) algorithms for predicti...
Male Risk Assessment Humans Postoperative Complications Machine Learning ROC Curve Retrospective Studies Pneumonia Female Infant Cardiac Surgical Procedures Infant, Newborn Child, Preschool Heart Defects, Congenital Child
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A Pilot Study Using Machine-learning Algorithms and Wearable Technology for the Early Detection of Postoperative Complications After Cardiothoracic Surgery.

Annals of surgery Mar 14, 2024
OBJECTIVE: To evaluate whether a machine-learning algorithm (ie, the "NightSignal" algorithm) can be used for the detection of postoperative complications before symptom onset after cardiothoracic surgery.
Female Aged Male Machine Learning Algorithms Prospective Studies Wearable Electronic Devices Cardiac Surgical Procedures Early Diagnosis Middle Aged Postoperative Complications Pilot Projects Humans
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Artificial intelligence in academic cardiothoracic surgery.

The Journal of cardiovascular surgery Feb 1, 2024
Cardiac Surgical Procedures Diffusion of Innovation Education, Medical, Graduate Thoracic Surgical Procedures Thoracic Surgery Humans Artificial Intelligence
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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...
Echocardiography, Transesophageal Humans Deep Learning Echocardiography Aortic Valve Cardiac Surgical Procedures
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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...
Male Humans Middle Aged Machine Learning Delirium Postoperative Complications Female Risk Assessment Prospective Studies Geriatric Assessment Surveys and Questionnaires Risk Factors Cardiac Surgical Procedures 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.
Cardiopulmonary Bypass Humans Adult Rotation Prospective Studies Thrombelastography Blood Coagulation Young Adult Cardiac Surgical Procedures
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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...
Adult Male Middle Aged Humans China Female Machine Learning Decision Trees Blood Loss, Surgical Intraoperative Care Risk Factors Algorithms Cardiac Surgical Procedures Blood Transfusion Erythrocyte Transfusion Aged Retrospective Studies Aorta
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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
Machine Learning Child Cardiac Surgical Procedures Heart Defects, Congenital Humans
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