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Full Description
The book explores the intersection of AI, telehealth, and viral infections, discussing the role of AI in pandemics, telehealth services, viral diagnosis, and antiviral drug development. It explores the integration of AI into telehealth, predicting outbreaks and monitoring mutations. The book emphasizes patient-centric healthcare, highlighting AI's transformative potential in infectious diseases. It covers medical virology, bioinformatics, machine learning, and neural networks. AI enables streamlined workflows, improved patient care, and new research methodologies. It addresses challenges and tailored solutions for AI integration in telehealth.
It serves as a valuable resource for clinicians, physicians, virologists, researchers, and healthcare professionals seeking to navigate the evolving landscape of telehealth and harness the full potential of AI in transforming healthcare delivery.
Contents
Chapter 1. Transforming Healthcare: The Synergy of Telemedicine, Telehealth, and Artificial Intelligence.- Chapter 2. Role of AI in diagnosis of Viral Infection.- Chapter 3. The Influence of Artificial Intelligence in Drug Discovery and Development.- Chapter 4. Transformative effect on the role of telehealth during pandemic.- Chapter 5. Effective Cloud Infrastructure for Optimal Telehealth Service.- Chapter 6. Advancements of Telemedicine using Blockchain and Deep Learning for Smart Healthcare.- Chapter 7. Impact of Telehealth during Pandemic in Remote Locations.- Chapter 8. A Terrific Structure for City Dengue Predictive Recommender Analytics.- Chapter 9. Machine Learning for Intelligent Healthcare Across Decentralized Patient Databases Using Federated Learning.- Chapter 10. Cancer Disease Prediction Using an Integrated Ensemble Technique with ReliefF and FP.- Chapter 11. AI Managed Hospital Workforce.- Chapter 12. Healthcare Data Security in Multi-Cloud Infrastructure using Heuristic Algorithms.
