AIMC Topic: Cardiac Surgical Procedures
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Five steps in performing machine learning for binary outcomes.
The Journal of thoracic and cardiovascular surgery
Sep 5, 2024
BACKGROUND: The use of machine learning (ML) in cardiovascular and thoracic surgery is evolving rapidly. Maximizing the capabilities of ML can help improve patient risk stratification and clinical decision making, improve accuracy of predictions, and...
Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study.
Journal of translational medicine
Aug 15, 2024
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory complication with high mortality and morbidity. Traditional clinical approaches may lead to under recognition of this heterogeneous syndrome, potenti...
The Emerging and Important Role of Artificial Intelligence in Cardiac Surgery.
The Canadian journal of cardiology
Aug 2, 2024
Artificial Intelligence (AI) has greatly affected our everyday lives and holds great promise to change the landscape of medicine. AI is particularly positioned to improve care for the increasingly complex patients undergoing cardiac surgery using the...
The Advent of Artificial Intelligence into Cardiac Surgery: A Systematic Review of Our Understanding.
Brazilian journal of cardiovascular surgery
Jul 22, 2024
When faced with questions about artificial intelligence (AI), many surgeons respond with scepticism and rejection. However, in the realm of cardiac surgery, it is imperative that we embrace the potential of AI and adopt a proactive mindset. This syst...
Pediatric cardiac surgery: machine learning models for postoperative complication prediction.
Journal of anesthesia
Jul 19, 2024
PURPOSE: Managing children undergoing cardiac surgery with cardiopulmonary bypass (CPB) presents a significant challenge for anesthesiologists. Machine Learning (ML)-assisted tools have the potential to enhance the recognition of patients at risk of ...
Artificial intelligence in cardiac surgery: A systematic review.
World journal of surgery
Jul 17, 2024
BACKGROUND: Artificial intelligence (AI) has emerged as a tool to potentially increase the efficiency and efficacy of cardiovascular care and improve clinical outcomes. This study aims to provide an overview of applications of AI in cardiac surgery.
Deep Learning Analysis of Surgical Video Recordings to Assess Nontechnical Skills.
JAMA network open
Jul 1, 2024
IMPORTANCE: Assessing nontechnical skills in operating rooms (ORs) is crucial for enhancing surgical performance and patient safety. However, automated and real-time evaluation of these skills remains challenging.
Development and validation of a machine learning predictive model for perioperative myocardial injury in cardiac surgery with cardiopulmonary bypass.
Journal of cardiothoracic surgery
Jun 26, 2024
BACKGROUND: Perioperative myocardial injury (PMI) with different cut-off values has showed to be associated with different prognostic effect after cardiac surgery. Machine learning (ML) method has been widely used in perioperative risk predictions du...
Cardiac patients' surgery outcome and associated factors in Ethiopia: application of machine learning.
BMC pediatrics
Jun 18, 2024
INTRODUCTION: Cardiovascular diseases are a class of heart and blood vessel-related illnesses. In Sub-Saharan Africa, including Ethiopia, preventable heart disease continues to be a significant factor, contrasting with its presence in developed natio...
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