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.
The text discusses topics such as safety in close human-robot interaction, machine vision applications for robotics in healthcare, robotic interactions, and control for wearable devices. It further covers explainable artificial intelligence in medical imaging, the interpretability of healthcare models, and explainable healthcare frameworks.
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.
Anoop V. S is an Assistant Professor of Information Systems and Analytics at Thiagarajar School of Management (Autonomous), Madurai, India. In his previous roles, he worked as a Research Officer at the School of Digital Sciences, Kerala University of Digital Sciences, Innovation and Technology, Thiruvananthapuram, India, and as a Postdoctoral Fellow with the Smith School of Business at Queen's University, Canada. His primary research interest is Applied Natural Language Processing and has published research papers in journals and conferences of national and international repute.
Suhasini Verma is an associate professor, in the Department of Business Administration, Faculty of Management and Commerce, Manipal University Jaipur, India. She has 15 years of research and teaching experience in finance, FinTech, and economics, and has presented several research papers at international and national seminars and published research papers in reputable journals.
Usharani Hareesh Govindarajan is a Tenured Assistant Professor of Information Management and Systems at the Business School, University of Shanghai for Science and Technology, Shanghai, China. His work experience as a research and development Engineer for the Nokia Siemens Networks (a joint venture between Nokia of Finland and Siemens of Germany) and Verizon Wireless in America has helped him understand the iterative development of technologies in Europe and America. He has published research papers in leading international journals.
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