2023
DOI: 10.4103/ija.ija_972_22
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Recent advances in cardiac anaesthesia

Abstract: The speciality of cardiac anaesthesia has rapidly evolved over the past few decades with advances in technology, including artificial intelligence (AI), newer devices, techniques, imaging, pain relief and a better understanding of the pathophysiology of disease states. Incorporation of the same has led to improved patient outcomes in terms of morbidity and mortality benefits. With the advent of minimally invasive surgical methods, minimising the dose of opioids and ultrasound-guided regional anaesthesia for pa… Show more

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Cited by 4 publications
(7 citation statements)
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References 27 publications
(33 reference statements)
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“…Furthermore, truly noninvasive assessments of cardiac output, facilitated by innovative methods using a blood pressure cuff, represent a significant stride forward [16]. Artificial intelligence (AI) has emerged as a transformative force in anesthesia, ushering in novel approaches to patient care, real-time monitoring, and data-driven decision-making [17,18]. Integrating AI algorithms into the field promises to enhance precision and efficiency, ultimately optimizing anesthesia administration and patient outcomes.…”
Section: Historical Perspective On Out-of-or Cardiac Proceduresmentioning
confidence: 99%
“…Furthermore, truly noninvasive assessments of cardiac output, facilitated by innovative methods using a blood pressure cuff, represent a significant stride forward [16]. Artificial intelligence (AI) has emerged as a transformative force in anesthesia, ushering in novel approaches to patient care, real-time monitoring, and data-driven decision-making [17,18]. Integrating AI algorithms into the field promises to enhance precision and efficiency, ultimately optimizing anesthesia administration and patient outcomes.…”
Section: Historical Perspective On Out-of-or Cardiac Proceduresmentioning
confidence: 99%
“…Artificial intelligence is the science that allows computerized machines to learn from data collected to solve problems, make decisions, and do tasks that require human intelligence [110,111 ▪ ]. The machine's processor uses complex algorithms to learn from the data collected, predict events, make a diagnosis, and recommend treatment [7 ▪▪ ,11,108,109,110,111 ▪ ]. Predicting HDI opened a new avenue in HDM of critically ill patients [11,13,18].…”
Section: Artificial Intelligence In Hemodynamic Monitoringmentioning
confidence: 99%
“…Major limitations of TEE include lack of adequate training and the fact that it is operator-dependent with the possibility of misinterpretation of the data and wrong treatment [4 ▪▪ ,105,108,109,111 ▪ ,113]. Despite limitations and possible risks, TEE is indispensable in managing sudden HDI and cardiac arrest and should always be on standby (rTEE).…”
Section: Transesophageal Echocardiographymentioning
confidence: 99%
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“…Cardiac anaesthesia has its share of advancements with the growing application of regional nerve blocks, artificial intelligence (AI) including perioperative echocardiography, and evolving anaesthetic strategies for minimally invasive cardiac surgery. [ 17 ] The intraoperative use of imaging, the resurgence of ketamine, regional anaesthesia in neurosurgery, the management of awake brain and spine surgery, anaesthesia for functional neurosurgery, and neurological malignancies are some major advances in neuroanaesthesia. [ 18 ] The speciality of critical care is now being revolutionised by the fast-expanding indications of POCUS, newer tools in functional haemodynamic monitoring, use of biomarkers in diagnosis and therapy, analgosedation, the comeback of colloids such as albumin, newer modes of mechanical circulatory and respiratory support and newer antimicrobials.…”
mentioning
confidence: 99%