Titlebook: Artificial Intelligence in Anesthesiology; Ming Xia,Hong Jiang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

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Klausur Nr. 5: Windige Einlagegeschäfteded into two categories, those that can be quantified and those that cannot. For the quantifiable ones, such as hypotension and hypoxemia that we will explore in this chapter, they are expected to be predictable and interpretable; for the hard-to-quantify ones such as ataxic respiration and pain con

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Klausur Nr. 4: Geburt der Eventimo-GmbHeep learning as the main technology, has shown great potential in many fields such as disease diagnosis, image recognition and drug development, and has become an important tool to promote the change of medical industry. ICUs are data-intensive, technology-intensive, and knowledge-intensive, and are

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Fallsammlung zum Gesellschaftsrecht%. PONV may cause suture rupture, wound dehiscence, pulmonary aspiration, bleeding, dehydration, and electrolyte disturbance. Although anti-emetic prophylaxis can be helpful, routine efforts are generally contraindicated by cost and side effects of anti-emetics. In order to identify patients who wou

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Fallsammlung zum Gesellschaftsrechtvery stage of anesthesia and surgery such as the prediction of opioid prescription, and more importantly, the diagnosis of pain. The identification of pain was difficult even with the assistance of imaging techniques, not to mention diagnosing pain by the widely used various scales. Fortunately, res

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Basiswissen: Handlungsvollmacht,thesia management. The current anesthesia information management systems (AIMS) used in major hospitals can collect data from sources such as monitors, hospital information systems, ventilators, and anesthesia workstations in real time, while the anesthesiologist records the patient’s fluid balance

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https://doi.org/10.1007/978-3-642-03576-0e development and advancement of AI technology. Though it has been a global trend, different countries took different features in their exploration of this topic. In China, researchers are more concerned about the integration of AI with the utilization of clinical technologies to reduce the workload

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https://doi.org/10.1007/978-3-662-07184-7without its limitations. Currently, AI medicine is still hardly applicable in clinical settings because of its immaturity. It is highly reliant on human doctors and high-tech machines. It could only show the final result, without explanation and supportive details. Moreover, its dubious accuracy, co

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Fallsammlung zum GesellschaftsrechtArtificial intelligence (AI) is increasingly being used in clinical anesthesia, and researchers are using algorithms to dig information from patients’ perioperative data, process and analyze them from multi-dimensions, after which predictive models are built to dynamically predict perioperative adverse events.

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Ming Xia,Hong JiangProvides anesthesiologists with a detailed introduction to clinical application of artificial intelligence.Makes practical recommendations for AI technology in anesthesiology.Covers challenges and pro