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  • Artificial Intelligence in Anesthesiology

    Artificial Intelligence in Anesthesiology by Xia, Ming; Jiang, Hong;

      • GET 12% OFF

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      • Publisher's listprice EUR 149.79
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        62 125 Ft (59 167 Ft + 5% VAT)
      • Discount 12% (cc. 7 455 Ft off)
      • Discounted price 54 670 Ft (52 067 Ft + 5% VAT)

    62 125 Ft

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed. 2023
    • Publisher Springer Nature Singapore
    • Date of Publication 24 November 2023
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819959242
    • Binding Hardback
    • No. of pages113 pages
    • Size 254x178 mm
    • Weight 474 g
    • Language English
    • Illustrations VII, 113 p. 1 illus. in color. Illustrations, color
    • 515

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    Long description:

    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.

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    Table of Contents:

    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.

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