Shramana M. Banerjee, H.N. Abhishek, Priyanka Gupta, Abhishek Pravin Patel, Krishan Kant, A. Shetti
{"title":"Artificial Intelligence in anesthesia: Biotechnology applications for optimal patient outcomes","authors":"Shramana M. Banerjee, H.N. Abhishek, Priyanka Gupta, Abhishek Pravin Patel, Krishan Kant, A. Shetti","doi":"10.3233/jcb-230092","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) is revolutionizing various fields of medicine, and anesthesia is no exception. AI in anesthesia is not only streamlining the work of anesthesiologists but also improving patient outcomes. The integration of biotechnology and AI has created opportunities for personalized care in anesthesia, with the aim of optimizing patient outcomes. The use of biotechnology in conjunction with AI has further expanded the possibilities in anesthesia care. Biotechnology tools such as genomics and proteomics can provide insights into individual patient responses to anesthesia drugs, enabling personalized drug dosing and reducing the risk of adverse events. Similarly, the use of biosensors and wearable devices can provide continuous monitoring of vital signs and other physiological parameters, allowing for real-time adjustments to anesthesia care. In future the integration of AI and biotechnology in anesthesia care has the potential to transform the field of anesthesia and improve patient outcomes. The development of personalized care plans and the early identification of at-risk patients can lead to a safer and more efficient anesthesia experience for patients.","PeriodicalId":15286,"journal":{"name":"Journal of Cellular Biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cellular Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jcb-230092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) is revolutionizing various fields of medicine, and anesthesia is no exception. AI in anesthesia is not only streamlining the work of anesthesiologists but also improving patient outcomes. The integration of biotechnology and AI has created opportunities for personalized care in anesthesia, with the aim of optimizing patient outcomes. The use of biotechnology in conjunction with AI has further expanded the possibilities in anesthesia care. Biotechnology tools such as genomics and proteomics can provide insights into individual patient responses to anesthesia drugs, enabling personalized drug dosing and reducing the risk of adverse events. Similarly, the use of biosensors and wearable devices can provide continuous monitoring of vital signs and other physiological parameters, allowing for real-time adjustments to anesthesia care. In future the integration of AI and biotechnology in anesthesia care has the potential to transform the field of anesthesia and improve patient outcomes. The development of personalized care plans and the early identification of at-risk patients can lead to a safer and more efficient anesthesia experience for patients.