Artificial Intelligence in Anesthesiology

• Titel: Artificial Intelligence in Anesthesiology
• Mitwirkende: Xia, Ming [HerausgeberIn]
• Mitwirkende: Jiang, Hong [HerausgeberIn]
• Verf.angabe: edited by Ming Xia, Hong Jiang
• Ausgabe: 1st ed. 2023.
• Verlagsort: Singapore
• Verlagsort: Singapore
• Verlag: Springer Nature Singapore
• Verlag: Imprint: Springer
• E-Jahr: 2023
• Jahr: 2023.
• Jahr: 2023.
• Umfang: 1 Online-Ressource(V, 113 p. 1 illus. in color.)
• ISBN: 978-981-9959-25-9
• DOI: doi:10.1007/978-981-99-5925-9
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• K10plus-PPN: 1871462878
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4419516828
• Lokale URL Inst.: Zum Volltext

Abstract

Artificial 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.

Abstract

Considering 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.