A. Shetti, A. R. Kumar, A. Nagaraj, Shramana M. Banerjee, Ashwin A.B., Nidhal S Mohamed
{"title":"Anesthesiology\\'s next frontier: Exploring the boundless potential of artificial intelligence","authors":"A. Shetti, A. R. Kumar, A. Nagaraj, Shramana M. Banerjee, Ashwin A.B., Nidhal S Mohamed","doi":"10.18231/j.ijpca.2023.002","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize various industries, including healthcare. In the field of anesthesia, AI has shown great promise in improving patient outcomes and enhancing the overall efficiency and safety of anesthesia practices. One of the main ways AI is being used in anesthesia is through predictive modeling, where machine learning algorithms are trained on large datasets to identify patterns and make predictions about patient outcomes. For example, AI can be used to predict patient response to anesthesia, predict the likelihood of postoperative complications, or optimize drug dosing. This allows anesthesiologists to make more informed decisions and reduce the risk of adverse events. Another area where AI is being used in anesthesia is in computer-assisted drug dosing. With the help of AI, anesthesiologists can determine the optimal dose of anesthesia for each patient, taking into account factors such as age, weight, medical history, and the type of surgery being performed. This helps to improve patient safety and reduce the risk of adverse events. As AI technology continues to advance, it is likely that the use of AI in anesthesia will become more widespread, and it will play an increasingly important role in improving patient outcomes and enhancing the overall quality of care in the field of anesthesia. Overall, the integration of AI in anesthesia is a promising development that has the potential to transform the field and improve patient outcomes. Telemedicine is one of the area where AI is utilized which will drastically contribute the healthcare system especially for underdeveloped and developing countries.","PeriodicalId":13889,"journal":{"name":"International Journal of Pharmaceutical Chemistry and Analysis","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pharmaceutical Chemistry and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18231/j.ijpca.2023.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize various industries, including healthcare. In the field of anesthesia, AI has shown great promise in improving patient outcomes and enhancing the overall efficiency and safety of anesthesia practices. One of the main ways AI is being used in anesthesia is through predictive modeling, where machine learning algorithms are trained on large datasets to identify patterns and make predictions about patient outcomes. For example, AI can be used to predict patient response to anesthesia, predict the likelihood of postoperative complications, or optimize drug dosing. This allows anesthesiologists to make more informed decisions and reduce the risk of adverse events. Another area where AI is being used in anesthesia is in computer-assisted drug dosing. With the help of AI, anesthesiologists can determine the optimal dose of anesthesia for each patient, taking into account factors such as age, weight, medical history, and the type of surgery being performed. This helps to improve patient safety and reduce the risk of adverse events. As AI technology continues to advance, it is likely that the use of AI in anesthesia will become more widespread, and it will play an increasingly important role in improving patient outcomes and enhancing the overall quality of care in the field of anesthesia. Overall, the integration of AI in anesthesia is a promising development that has the potential to transform the field and improve patient outcomes. Telemedicine is one of the area where AI is utilized which will drastically contribute the healthcare system especially for underdeveloped and developing countries.