Articles: anesthesiology.
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J. Cardiothorac. Vasc. Anesth. · May 2024
ReviewOverview and Clinical Applications of Artificial Intelligence and Machine Learning in Cardiac Anesthesiology.
Artificial intelligence- (AI) and machine learning (ML)-based applications are becoming increasingly pervasive in the healthcare setting. This has in turn challenged clinicians, hospital administrators, and health policymakers to understand such technologies and develop frameworks for safe and sustained clinical implementation. ⋯ To address such challenges and opportunities, in this article, the authors review 3 recent applications relevant to cardiac anesthesiology, including depth of anesthesia monitoring, operating room resource optimization, and transthoracic/transesophageal echocardiography, as conceptual examples to explore strengths and limitations of AI/ML within healthcare, and characterize this evolving landscape. Through reviewing such applications, the authors introduce basic AI/ML concepts and methodologies, as well as practical considerations and ethical concerns for initiating and maintaining safe clinical implementation of AI/ML-based algorithms for cardiac anesthesia patient care.
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To coincide with the annual scientific meeting of Regional Anaesthesia UK in London 2024, where there is a joint scientific session with the British Journal of Anaesthesia, a special regional anaesthesia edition of the journal has been produced. This editorial offers some highlights from the manuscripts contained within the special edition.
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Regional anaesthesia plays an important role in perioperative care, but gaps in proficiency persist among consultants and specialists. This study aimed to assess confidence levels in performing Plan A blocks among this cohort and to examine the barriers and facilitators influencing regional anaesthesia education. ⋯ This study highlights persistent perceived deficiencies in regional anaesthesia skills among consultants and specialists. We identified multiple barriers and facilitators, providing insights for targeted interventions aimed at improving regional anaesthesia education in this group.
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J. Cardiothorac. Vasc. Anesth. · May 2024
European Pediatric Cardiac Anesthesia Fellowship Program: A First Proof of Concept.
The Pediatric Cardiac Anesthesia (PCA) fellowship is a demanding training program in Europe and the United States. Successful completion of the program requires years of training in anesthesiology, a thorough understanding of cardiovascular anatomy and physiology, and extensive experience in the perioperative management of neonates and children with heart disease. In the context of the first candidate to successfully complete the PCA program in Europe, this article presents excerpts from the design and structure of the European PCA program. The PCA program is evaluated critically by both external and internal reviewers, and points are highlighted that could be included in the next version of the program.
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Medication errors in anaesthesia remain a leading cause of patient harm. Compared with conventional methods, use of the international colour-code standard on syringes and medication trays allows significantly more errors to be detected, and does so under conditions of cognitive load. Testing methods from experimental psychology provide important new insights for human factors research in anaesthesia and health care.