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Full Description
Applications of Artificial Intelligence in Healthcare: The Changing Landscape takes a systematic approach discussing the benefits and achievements of AI, while exploring the questions and challenges of AI as it relates to health and medicine. The book is divided into six sections. The first section provides historical context, introducing the reader to the fundamentals of AI in health care. The second section addresses the primary applications of AI in healthcare, including chatbots for tele-counselling, telemedicine and AI assisted prediction tools. The third section focuses on the use of robotics and AI driven precision instruments to carry out complex surgical procedures. The fourth section highlights emerging AI assisted technologies for management of diseases and disorders. The fifth section covers emerging applications of AI in medical science and holistic health management, for example ChatGPT and Natural Language Processing algorithms. Finally, the sixth section concludes with chapters dedicated to federal and regulatory issues of adopting AI as it relates to human health, along with the ethical issues and limitations.
Applications of Artificial Intelligence in Healthcare: The Changing Landscape is primarily written for Health Professionals, Pharmacists, Scientists, Industrial Scientists, Physicians, Graduate Students, Doctoral and Post-Doctoral Scientists.
Contents
Section 1: Introduction to AI and Healthcare
1. Introduction to Fundamentals of AI Application in Healthcare
2. Bottlenecks in Medical Science: Why do We Need the Interventions of AI
3. Fuzzy Rule-based Systems for Disease Diagnosis
4. The Potential of Quantum AI in Augmentation of Human Health
Section 2: The Role of AI in Holistic Healthcare and Disease Diagnosis
5. State-of-the-Art AI Assisted Disease Detection Tools
6. AI in Biomedical Image Processing
7. Use of AI Chatbots for Primary Diagnosis at Home
8. AI Assisted Imaging Technologies for Disease Diagnosis
9. AI for Detection and Arrest of Infectious Diseases
10. Understanding Key Algorithms for Construction of AI Assisted Prediction Tools
11. Minimizing Vulnerability of AI Programmes from Cyber-attacks
Section 3: Use of AI in Organ Transplantation and Precision Surgery
12. Predictive AI to Increase Success of Heart Transplantation
13. AI Assisted Augmented Reality Overlay in Precision Surgeries
14. AI Driven Robotics in Neurosurgery
15. AI in Minimally Invasive Surgeries
16. AI in Cosmetic Surgery
Section 4: Domain Specific Applications in Medical Science through AI Intervention
17. Use of AI in Assisted Reproduction
18. AI for Management of Cardiovascular Diseases
19. AI in Telemedicine: The Evolution of Virtual Ophthalmology
20. The Role of Machine Learning in Autoimmune Disease Prediction
21. AI in Psychotherapy and Counseling
22. AI in Detecting and Mitigation of Neurological Disease
23. AI in Remote Monitoring of Patients
Section 5: New Frontiers of AI
24. The Evolution of ChatGPT in AI Assisted Biomedical Care
25. Role of Generative AI in Drug Designing, Toxicity Assessment and Bio-diversity
26. AI-based Predictive Models for Nutraceutical and Functional Food Industry
27. AI-enabled Organoids for Clinical Applications
28. Medicinal Plant Isolates
Section 6: Conclusion: The Future of AI
29. Regulatory, Federal, and Ethical Issues of AI in Biomedical Applications
30. Commentary: The Evolution of AI and its Implications for Future Human Generation
