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Table of Contents
Intro
Contents
Artificial Intelligence: An Overview
1 History of Artificial Intelligence in Medicine
2 Common Technologies of AIM
2.1 Machine Learning (ML)
2.2 Deep Learning (DL)
2.3 Expert System
2.4 Intelligent Robots
3 Healthcare Applications of AI
3.1 AI in Medical Imaging and Diagnostics
3.2 AI in Risk Prediction
3.3 AI as Assistive Therapy Tools
4 Applications of AI in Anesthesiology
4.1 Ultrasound-Guided Anesthesia
4.2 Anesthesia Monitoring
4.3 Anesthesia Event Prediction
4.4 Pain Management
4.5 Airway Management
4.6 Clinical Decision Support System
4.7 Clinical Skill Training and Assessment
5 Challenges to AI Adoption in Medicine and the Way Forward
5.1 Limitations and Challenges
5.1.1 Role of Anesthesiologists
5.1.2 Data
5.1.3 Ethical Implications
5.2 Future Prospects
6 Conclusion
References
Machine Learning and Other Techniques in Artificial Intelligence
1 Machine Learning, a Key Subfield of AI
1.1 Types of Machine Learning
1.1.1 Supervised Learning
1.1.2 Unsupervised Learning
1.1.3 Reinforcement Learning
2 Techniques and Models within Machine Learning
2.1 Fuzzy Logic
2.2 Classical Machine Learning
2.3 Neural Networks and Deep Learning
2.4 Bayesian Methods
3 Conclusion
References
Assistance of Artificial Intelligence in Ultrasound-Based Procedures
1 US Image Preprocessing
2 Algorithms for US Imaging Analysis
3 Clinical Application of US Images Using AI Techniques
3.1 Vessel Detection in US Images
3.1.1 Vessel Model
3.1.2 Vessel Candidate Search
3.1.3 Vessel Classifier
3.1.4 Outcomes
3.2 Automatic Localization of the Needle Target for Ultrasound-Guided Epidural Injections
References
Artificial Intelligence in Anesthesia Control and Monitoring
1 Application of AI in BIS
2 EEG with a Deep Learning Approach
2.1 Common Spatial Patterns
2.2 Principal Component Analysis
2.3 Common Average Reference
2.4 Adaptive Filter
2.5 Independent Component Analysis
2.6 Power Spectrum Density
2.7 Auto Regressive Analysis
2.8 Wavelet Transform and Wavelet Packet Transform
2.9 Fast Fourier Transform
2.10 Linear Discriminant Analysis
2.11 Support Vector Machine
2.12 Naive Bayes
2.13 Artificial Neural Network
References
Artificial Intelligence in Airway Management
1 AI in Prediction of Difficult Airway
1.1 Facial Analysis Techniques in Difficult Airway Prediction
1.2 Speech Features Analysis in Difficult Airway Prediction
2 AI and Intraoperative Airway Maintenance
2.1 Intraoperative Monitoring
2.2 Drug Administration
2.2.1 Closed-Loop Target Controlled Injection
2.2.2 Real-Time Control of Drug Administration
3 Clinical Decision Support System
References
Contents
Artificial Intelligence: An Overview
1 History of Artificial Intelligence in Medicine
2 Common Technologies of AIM
2.1 Machine Learning (ML)
2.2 Deep Learning (DL)
2.3 Expert System
2.4 Intelligent Robots
3 Healthcare Applications of AI
3.1 AI in Medical Imaging and Diagnostics
3.2 AI in Risk Prediction
3.3 AI as Assistive Therapy Tools
4 Applications of AI in Anesthesiology
4.1 Ultrasound-Guided Anesthesia
4.2 Anesthesia Monitoring
4.3 Anesthesia Event Prediction
4.4 Pain Management
4.5 Airway Management
4.6 Clinical Decision Support System
4.7 Clinical Skill Training and Assessment
5 Challenges to AI Adoption in Medicine and the Way Forward
5.1 Limitations and Challenges
5.1.1 Role of Anesthesiologists
5.1.2 Data
5.1.3 Ethical Implications
5.2 Future Prospects
6 Conclusion
References
Machine Learning and Other Techniques in Artificial Intelligence
1 Machine Learning, a Key Subfield of AI
1.1 Types of Machine Learning
1.1.1 Supervised Learning
1.1.2 Unsupervised Learning
1.1.3 Reinforcement Learning
2 Techniques and Models within Machine Learning
2.1 Fuzzy Logic
2.2 Classical Machine Learning
2.3 Neural Networks and Deep Learning
2.4 Bayesian Methods
3 Conclusion
References
Assistance of Artificial Intelligence in Ultrasound-Based Procedures
1 US Image Preprocessing
2 Algorithms for US Imaging Analysis
3 Clinical Application of US Images Using AI Techniques
3.1 Vessel Detection in US Images
3.1.1 Vessel Model
3.1.2 Vessel Candidate Search
3.1.3 Vessel Classifier
3.1.4 Outcomes
3.2 Automatic Localization of the Needle Target for Ultrasound-Guided Epidural Injections
References
Artificial Intelligence in Anesthesia Control and Monitoring
1 Application of AI in BIS
2 EEG with a Deep Learning Approach
2.1 Common Spatial Patterns
2.2 Principal Component Analysis
2.3 Common Average Reference
2.4 Adaptive Filter
2.5 Independent Component Analysis
2.6 Power Spectrum Density
2.7 Auto Regressive Analysis
2.8 Wavelet Transform and Wavelet Packet Transform
2.9 Fast Fourier Transform
2.10 Linear Discriminant Analysis
2.11 Support Vector Machine
2.12 Naive Bayes
2.13 Artificial Neural Network
References
Artificial Intelligence in Airway Management
1 AI in Prediction of Difficult Airway
1.1 Facial Analysis Techniques in Difficult Airway Prediction
1.2 Speech Features Analysis in Difficult Airway Prediction
2 AI and Intraoperative Airway Maintenance
2.1 Intraoperative Monitoring
2.2 Drug Administration
2.2.1 Closed-Loop Target Controlled Injection
2.2.2 Real-Time Control of Drug Administration
3 Clinical Decision Support System
References