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003			ES-MaUEC
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007			cr nn 008mamaa
008			231123s2023 si | fo |||| 0|eng d
020			_a9789819959259
024	7		_a10.1007/978-981-99-5925-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRD80.95 _b2023 EB
245	0	0	_aArtificial Intelligence in Anesthesiology _cedited by Ming Xia, Hong Jiang
250			_a1st ed. 2023
264		1	_aSingapore _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_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.
520			_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.
988			_aSpringer_Medicine_2023
650		7	_2embne _9147384 _aAnestesiología _xInvestigación
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-5925-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2024 _dz _ean _zSI