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Handbook on Augmenting Telehealth Services: Using Artificial Intelligence [Hardcover]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  1032385464
  • ISBN-10:  1032385464
  • ISBN-13:  9781032385464
  • ISBN-13:  9781032385464
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  404
  • Pages:  404
  • Binding:  Hardcover
  • Binding:  Hardcover
  • SKU:  1032385464-11-MPOD
  • SKU:  1032385464-11-MPOD
  • Item ID: 107087135
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Sep 30 to Oct 02
  • Notes: Brand new books. Buy now.

1. Artificial intelligence and Healthcare. 1.1 Introduction. 1.2 Pre-processing. 1.3 Radiology's use of artificial intelligence and overcoming its challenges. 1.4 Artificial intelligence and X-rays in Medical Imaging. 1.5 Modelling and Simulation Techniques for Edge AI in Healthcare. Conclusion and Future Scope. 2. Revolutionizing Healthcare: Impact of Artificial Intelligence in Disease Diagnosis, Treatment and Patient Care. 2.1 Introduction. 2.2 What is Machine Learning, Deep Learning and Natural Language Processing?. 2.3 Timeline For AI Being Used in Healthcare. 2.4 Use of AI in Different Domains of the Healthcare Industry. 2.5 Use of AI Enabled Applications. 2.6 Challenges and Limitations. 2.7 Conclusion. 3. Applications of Healthcare Products Having AI Capability in Disease Diagnosis. 3.1 Introduction. 3.2 Basics of Artificial Intelligence and Machine Learning. 3.3 Clinical Versus AI-Based Disease Diagnosis. 3.4 Deep Learning and disease diagnosis. 3.5 Artificial Intelligence and Radiology. Conclusion. 4. Application of AI for Disease Prediction. 4.1 Introduction. 4. 2 Importance of Disease Prediction. 4.3 Types of AI Algorithms. 4.4 Application of AI in Disease Prediction. 4.5 Dataset. 4.6 Comparison of the AI model with traditional disease prediction methods. 4.7 Conclusion. 5. The Power of AI in Telemedicine: Improving Access and Outcomes. 5.1 Introduction. 5.2 Overview of Telemedicine and AI Technologies. 5.3 AI-Powered Telemedicine Models. 5.4 Case Studies and Real-World Applications. 5.5 Ethical Considerations and Challenges. 5.6 Future Directions and Opportunities. 5.7 Conclusion. 6. AI Ethics and Challenges in Healthcare. 6.1 Introduction. 6.2 AI in medicine. 6.3 Growth factor of AI in health care. 6.4 Ethical issues in AI driven healthcare. 6.5 Legal issues in AI driven healthcare. 6.6 Conclusion. 7. The Future of the Healthcare System: A Meta-Analysis of Remote Patient Monitoring. 7.1 Introduction. 7.2 Android Application. 7.3 How remote patiels{

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