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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.
List of 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.
About the author
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.
