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Full Description
Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain.
Features:
Discusses advanced concepts such as biomedical large language models, and natural language processing applications
Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices
Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services
Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation
Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging applications using generative artificial intelligence
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
Contents
1. Revolutionizing Healthcare: Exploring Robotics' Role and Impact in the Recent Years. 2. Enhancing Healthcare Through Medical IoT: Current Trends and Future Directions. 3. Exploring the Potential of Smart Healthcare Wearable Devices and its Future: A Study on Consumer Adoption and Attitude. 4. OralMedIE: Fine-tuning Biomedical Language Model for Clinical Information Extraction for Oral Medicine and Radiology. 5. Generative AI for Healthcare Security: Addressing Privacy Challenges through Anomaly Detection in Healthcare Communications. 6. Navigating the Ethereal: Ethical Frameworks in AI for Healthcare. 7. Case Study on Explainable Artificial Intelligence in Healthcare Diagnostics. 8. Robust CNN based on LIME for Glaucoma Classification. 9. Tumor Detection and Classification of Oral Squamous Cell Carcinoma on Histopathological Images utilizing Personalized Transfer Learning Approaches. 10. Artificial Intelligence (AI) enabled Diabetic Retinopathy Detection Techniques. 11. Artificial Intelligence and Machine Learning in Radiology: Benefits, Drawbacks and Prospects. 12. Unlocking Effective Applications of Artificial Intelligence for Healthcare Management Systems. 13. Transformative Synergy: Revolutionizing Healthcare Accounting Information Systems with AI. 14. Canadian Rural Medicare 2047: Envisioning Equal Access Through Digitalization. 15. Revolutionizing Patient Access through AI in Healthcare. 16. Transformation of Insurance Sector in an Era of Artificial Intelligence. 17. "Prevention is Better Than Cure" - Relevance of AI Driven mHealth in India. 18. AI in Medicine: Addressing Advancements, Personhood Status and Liability Concerns for AI-Related Errors. 19. Adoption and Implementation Challenges of Artificial Intelligence in Healthcare Settings.
