LEADER 03204nam 2200469 450 001 9910766886003321 005 20240113030945.0 010 $a981-9959-25-X 024 7 $a10.1007/978-981-99-5925-9 035 $a(MiAaPQ)EBC30967874 035 $a(CKB)29033276200041 035 $a(Au-PeEL)EBL30967874 035 $a(DE-He213)978-981-99-5925-9 035 $a(EXLCZ)9929033276200041 100 $a20240113d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aArtificial Intelligence in Anesthesiology /$fMing Xia and Hong Jiang, editors 205 $aFirst edition. 210 1$aSingapore :$cSpringer, Springer Nature Singapore Pte Ltd,$d[2023] 210 4$dİ2023 215 $a1 online resource (113 pages) 320 $aIncludes bibliographical references. 327 $aArtificial Intelligence: An Overview -- Machine Learning and Learning Algorithms in Artificial Intelligence -- Assistance of Artificial Intelligence in Ultrasound-Based Procedures -- Artificial Intelligence in Anesthesia Control and Monitoring -- Artificial Intelligence in Airway Management -- Artificial Intelligence in Prediction for Hypotension and Hypoxemia -- Artificial Intelligence in Prediction and Management of PONV -- Artificial Intelligence and Pain Management -- Application of Artificial intelligence in Operating Room and ICU Logistics -- Clinical Decision Support System (CDSS) -- Artificial Intelligence in Clinical Skill Training and Assessment -- Limitations and Ethical Implications of Artificial Intelligence. 330 $aConsidering the rapid developments in digital and information technologies, artificial intelligence has long been a hot topic in medicine. This book discusses applications of artificial intelligence in anaesthesiology, including control of anesthesia, risk prediction, ultrasound guidance, pain management, and operating room logistics. This book first defines basic concepts of AI, and give a brief overview of a few algorithms frequently used in AI and machine learning. A review of current AI and machine learning applications for the prediction of anesthesia conditions is also discussed, including those for the prediction of difficult airways before surgery, of adverse events and sedation effects during surgery, and of vomiting and pain after surgery. Even without extensive promotion and clinical application, AI is in development in anesthesiology; furthermore, it has a great deal of potential to maintain further development in the future. Lastly, ethical and safety considerations are discussed alongside AI limitations and challenges in anesthesiology. 606 $aAnesthesiology$xResearch 606 $aArtificial intelligence$xMedical applications 615 0$aAnesthesiology$xResearch. 615 0$aArtificial intelligence$xMedical applications. 676 $a617.96072 702 $aXia$b Ming 702 $aJiang$b Hong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910766886003321 996 $aArtificial Intelligence in Anesthesiology$93808077 997 $aUNINA