{"title":"On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology.","authors":"Sherwin C Davoud, Vesela P Kovacheva","doi":"10.1007/s40140-023-00558-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>The purpose of this review is to summarize the current research and critically examine artificial intelligence (AI) technologies and their applicability to the daily practice of anesthesiologists.</p><p><strong>Recent findings: </strong>Novel AI tools are developed using data from electronic health records, imaging, waveforms, clinical notes, and wearables. These tools can accurately predict the perioperative risk for adverse outcomes, the need for blood transfusion, and the risk of difficult intubation. Intraoperatively, AI models can assist with technical skill augmentation, patient monitoring, and management. Postoperatively, AI technology can aid in preventing complications and discharge planning. While further prospective validation is needed, these early applications demonstrate promise in every area of perioperative care.</p><p><strong>Summary: </strong>The practice of anesthesiology is at a precipice fueled by technological innovation. The clinical AI implementation would enable personalized and safer patient care by offering actionable insights from the wealth of perioperative data.</p>","PeriodicalId":36608,"journal":{"name":"Current Anesthesiology Reports","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10722862/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Anesthesiology Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40140-023-00558-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/4/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of review: The purpose of this review is to summarize the current research and critically examine artificial intelligence (AI) technologies and their applicability to the daily practice of anesthesiologists.
Recent findings: Novel AI tools are developed using data from electronic health records, imaging, waveforms, clinical notes, and wearables. These tools can accurately predict the perioperative risk for adverse outcomes, the need for blood transfusion, and the risk of difficult intubation. Intraoperatively, AI models can assist with technical skill augmentation, patient monitoring, and management. Postoperatively, AI technology can aid in preventing complications and discharge planning. While further prospective validation is needed, these early applications demonstrate promise in every area of perioperative care.
Summary: The practice of anesthesiology is at a precipice fueled by technological innovation. The clinical AI implementation would enable personalized and safer patient care by offering actionable insights from the wealth of perioperative data.
期刊介绍：
This journal aims to offer expert review articles on the most significant recent developments in the field of anesthesiology. By providing clear, insightful, balanced contributions, the journal intends to serve those involved in the delivery of anesthesia for surgical and medical procedures, treatment of acute and chronic pain conditions, perioperative management for operative and intensive care unit patients, and associated basic science and clinical research efforts in their areas. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas across the field. Section Editors select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An Editorial Board of more than 20 internationally diverse members reviews the annual table of contents, ensures that topics include emerging research, and suggests topics of special importance to their country/region. Topics covered may include ambulatory anesthesia; anesthesia and inflammation; anesthetic mechanisms; anesthetic pharmacology; cardiovascular anesthesia; critical care anesthesia; local anesthetic pharmacology; monitoring technology; neuroanesthesia; neuromuscular blockade; obstetrical anesthesia; pain mechanisms; pain therapy; patient safety; pediatric anesthesia; quality assessment; regional anesthesia; and transplantation anesthesia.
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