Tags Archives: Artificial intelligence

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ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation

Abstract Purpose: Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a complex and high-risk life support modality used in severe cardiorespiratory failure. ECMO survival scores are used clinically for patient prognostication and..

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Artificial intelligence-based early detection of acute kidney injury after cardiac surgery

Abstract OBJECTIVES This study aims to improve the early detection of cardiac surgery-associated acute kidney injury using artificial intelligence-based algorithms. METHODS Data from consecutive patients undergoing cardiac surgery between 2008..

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The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review

Abstract Objective Evidence-based medicine (EBM) is a decision-making process based on the conscious and judicious use of the best available scientific evidence. However, the exponential increase in the amount of..

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Big Data in cardiac surgery: real world and perspectives

Abstract Big Data, and the derived analysis techniques, such as artificial intelligence and machine learning, have been considered a revolution in the modern practice of medicine. Big Data comes from..

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Management algorithms and artificial intelligence systems for cardiopulmonary bypass

Abstract This article introduces management algorithms to support operators in choosing the best strategy for metabolic management during cardiopulmonary bypass using artificial intelligence systems. We developed algorithms for the identification..

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Preparing Clinicians for a Clinical World Influenced by Artificial Intelligence

Abstract Artificial intelligence (AI) and machine learning (ML) are poised to transform the way health care is delivered. AI is the use of computers to simulate intelligent tasks typically performed..

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Health Technology Assessment for Cardiovascular Digital Health Technologies and Artificial Intelligence: Why is it Different?

Abstract Innovations in healthcare are growing exponentially, resulting in improved quality of and access to care, as well as rising societal costs of care and variable reimbursement. In recent years,..

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Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach

Abstract Objective: Risk assessment tools typically used in congenital heart surgery (CHS) assume that various possible risk factors interact in a linear and additive fashion, an assumption that may not..

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Computer Vision in the Operating Room: Opportunities and Caveats

Abstract Effectiveness of computer vision techniques has been demonstrated through a number of applications, both within and outside healthcare. The operating room environment specifically is a setting with rich data..

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