標(biāo)題: Titlebook: Artificial Intelligence in Anesthesiology; Ming Xia,Hong Jiang Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive [打印本頁] 作者: 卑賤 時(shí)間: 2025-3-21 17:22
書目名稱Artificial Intelligence in Anesthesiology影響因子(影響力)
書目名稱Artificial Intelligence in Anesthesiology影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in Anesthesiology網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in Anesthesiology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in Anesthesiology被引頻次
書目名稱Artificial Intelligence in Anesthesiology被引頻次學(xué)科排名
書目名稱Artificial Intelligence in Anesthesiology年度引用
書目名稱Artificial Intelligence in Anesthesiology年度引用學(xué)科排名
書目名稱Artificial Intelligence in Anesthesiology讀者反饋
書目名稱Artificial Intelligence in Anesthesiology讀者反饋學(xué)科排名
作者: NATAL 時(shí)間: 2025-3-21 22:48
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.978-981-99-5927-3978-981-99-5925-9作者: 約會(huì) 時(shí)間: 2025-3-22 02:45
Machine Learning and Other Techniques in Artificial Intelligence,s been a broad topic embracing various techniques that support its development, it is necessary to introduce machine learning and its algorithms before exploring the existing and probable role of AI in administering high-quality anesthesia.作者: Wallow 時(shí)間: 2025-3-22 06:20
Artificial Intelligence: An Overview,ing medical care. Therefore, experts and scholars in the medical field are rooted in their own professions and actively seek cross-disciplinary cooperation to promote the beautiful vision of intelligent and smart medical care to become a reality.作者: 柳樹；枯黃 時(shí)間: 2025-3-22 11:42 作者: apiary 時(shí)間: 2025-3-22 16:50
Artificial Intelligence in Prediction for Intraoperative Hypotension and Hypoxemia,trol that will be covered in other parts of this book, we want them to be quantifiable. To achieve the goal that we set for our management of hazardous events, we turned our direction toward AI technologies by combing the literature that may provide insights.作者: 易于交談 時(shí)間: 2025-3-22 17:51
Artificial Intelligence in Prediction and Management of PONV,ld benefit from prophylactic anti-emetics, by now, researchers have been developing or verifying the predictive models for PONV. This chapter will review and analyze these models and provide useful suggestions for practice and future researches.作者: Corroborate 時(shí)間: 2025-3-23 00:28
Clinical Decision Support System,status, surgery, medication, special events, and other information according to the intraoperative anesthesia management condition. All these records form a comprehensive database of real-time patient information during the surgery.作者: AVANT 時(shí)間: 2025-3-23 04:23 作者: 窒息 時(shí)間: 2025-3-23 08:22 作者: Terminal 時(shí)間: 2025-3-23 10:07 作者: 膠狀 時(shí)間: 2025-3-23 15:43 作者: 性別 時(shí)間: 2025-3-23 19:51
Fallsammlung zum Gesellschaftsrechting medical care. Therefore, experts and scholars in the medical field are rooted in their own professions and actively seek cross-disciplinary cooperation to promote the beautiful vision of intelligent and smart medical care to become a reality.作者: Nonporous 時(shí)間: 2025-3-24 01:39 作者: Hemiplegia 時(shí)間: 2025-3-24 06:07 作者: MENT 時(shí)間: 2025-3-24 07:52
Fallsammlung zum Gesellschaftsrechtld benefit from prophylactic anti-emetics, by now, researchers have been developing or verifying the predictive models for PONV. This chapter will review and analyze these models and provide useful suggestions for practice and future researches.作者: 隼鷹 時(shí)間: 2025-3-24 14:43 作者: Aspiration 時(shí)間: 2025-3-24 18:28 作者: 瘋狂 時(shí)間: 2025-3-24 19:14 作者: maculated 時(shí)間: 2025-3-25 00:07
Book 2023 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.作者: 元音 時(shí)間: 2025-3-25 06:17 作者: Femish 時(shí)間: 2025-3-25 07:49
https://doi.org/10.1007/978-3-642-03576-0e current state of how AI participating and assisting medical education, including the promotion of instruction’s assessment, and how both instructors and students review AI’s participation in their teaching and learning process.作者: generic 時(shí)間: 2025-3-25 11:40 作者: circuit 時(shí)間: 2025-3-25 16:03 作者: Antarctic 時(shí)間: 2025-3-25 23:07
Artificial Intelligence in Clinical Skills Training and Assessment in Anesthesiology,e current state of how AI participating and assisting medical education, including the promotion of instruction’s assessment, and how both instructors and students review AI’s participation in their teaching and learning process.作者: Enrage 時(shí)間: 2025-3-26 00:26 作者: 擁護(hù) 時(shí)間: 2025-3-26 08:23
Fallsammlung zum Gesellschaftsrechtn be said to have penetrated all areas of society, especially people’s lifestyles have also undergone radical changes. Clothing, food, housing, and transportation, while pursuing efficiency, people are also in pursuit of a more personalized and comfortable experience, which is also reflected in seek作者: Defense 時(shí)間: 2025-3-26 12:02
Fallsammlung zum Gesellschaftsrechtgence in machines (Bini 2018). In 1976, Jerrold S. Maxmen predicted that AI would open the “post-doctoral era” in the twenty-first century (Maxmen 1976; Naylor 2018). Today, his prediction has been validated by the rapid development of AI technologies, the exponential growth of mega data sets (“big 作者: Infelicity 時(shí)間: 2025-3-26 15:07
Fallsammlung zum Gesellschaftsrecht(CT) and magnetic resonance imaging (MRI), US has the advantages of being non-invasive, less costly, and having no radiation exposure. Therefore, it is commonly used for screening and diagnosis (Reddy et al. 2008). Except for the common use in point-of-care testing in emergency medical treatment and作者: 緩解 時(shí)間: 2025-3-26 20:24
https://doi.org/10.1007/978-3-540-33812-3irway assessment to the postoperative management in SICU. This chapter introduces the ways in which AI techniques are applied in different steps of the airway management process, namely the assessment, induction, maintenance, and management after the surgery, especially when encountering difficult a作者: inhibit 時(shí)間: 2025-3-26 23:57
Klausur Nr. 5: Windige Einlagegesch?fteded 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作者: 座右銘 時(shí)間: 2025-3-27 03:43
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作者: 高度 時(shí)間: 2025-3-27 05:43
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作者: 披肩 時(shí)間: 2025-3-27 09:46
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作者: 驚奇 時(shí)間: 2025-3-27 16:35
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 作者: nephritis 時(shí)間: 2025-3-27 20:22
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作者: decipher 時(shí)間: 2025-3-28 01:43
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作者: Lipohypertrophy 時(shí)間: 2025-3-28 04:46
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.作者: seruting 時(shí)間: 2025-3-28 09:35 作者: hazard 時(shí)間: 2025-3-28 11:32
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作者: 主動(dòng)脈 時(shí)間: 2025-3-28 17:55 作者: 補(bǔ)助 時(shí)間: 2025-3-28 20:26
https://doi.org/10.1007/978-981-99-5925-9Artificial intelligence in anesthesiology; Machine learning in anesthesiology; Deep learning in anesth作者: 拒絕 時(shí)間: 2025-3-29 00:22
978-981-99-5927-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Nomadic 時(shí)間: 2025-3-29 05:14
Artificial Intelligence: An Overview,n be said to have penetrated all areas of society, especially people’s lifestyles have also undergone radical changes. Clothing, food, housing, and transportation, while pursuing efficiency, people are also in pursuit of a more personalized and comfortable experience, which is also reflected in seek作者: 開花期女 時(shí)間: 2025-3-29 09:16 作者: LINE 時(shí)間: 2025-3-29 14:42
Assistance of Artificial Intelligence in Ultrasound-Based Procedures,(CT) and magnetic resonance imaging (MRI), US has the advantages of being non-invasive, less costly, and having no radiation exposure. Therefore, it is commonly used for screening and diagnosis (Reddy et al. 2008). Except for the common use in point-of-care testing in emergency medical treatment and作者: 情感 時(shí)間: 2025-3-29 18:10
Artificial Intelligence in Airway Management,irway assessment to the postoperative management in SICU. This chapter introduces the ways in which AI techniques are applied in different steps of the airway management process, namely the assessment, induction, maintenance, and management after the surgery, especially when encountering difficult a作者: 積習(xí)難改 時(shí)間: 2025-3-29 21:33
Artificial Intelligence in Prediction for Intraoperative Hypotension and Hypoxemia,ded 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作者: sperse 時(shí)間: 2025-3-30 01:29 作者: 行為 時(shí)間: 2025-3-30 06:03
Artificial Intelligence in Prediction and Management of PONV,%. 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作者: Immobilize 時(shí)間: 2025-3-30 08:11
