Applications of Artificial Intelligence in Healthcare: The Changing Landscape takes a systematic approach, discussing the benefits and achievements of AI while also exploring the questions and challenges of AI as it relates to health and medicine. 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-counseling, 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 the 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.
1. Section I: Introduction to artificial intelligence and healthcare - p. S1 2. Chapter 1 Artificial intelligence and emotional intelligence: Can machines understand human emotions? - p. 3 3. Chapter 2 Understanding key machine learning algorithms as artificial intelligence-assisted prediction tools in clinical medicine: A mathematical overview - p. 19 4. Chapter 3 State of the art artificial intelligence assisted disease detection tools - p. 37 5. Section II: The role of artificial intelligence in holistic healthcare and disease diagnosis - p. S2 6. Chapter 4 Application of artificial intelligence chatbots for primary diagnosis at home - p. 57 7. Chapter 5 Adaptive network-based fuzzy inference system-enhanced bidirectional time-aware LSTM for clinical sequence prediction - p. 71 8. Chapter 6 Applications of artificial intelligence in infectious diseases - p. 93 9. Chapter 7 Artificial intelligence-assisted imaging technologies for disease diagnosis - p. 117 10. Section III: Use of artificial intelligence in organ transplantation and precision surgery - p. S3 11. Chapter 8 Predictive artificial intelligence to increase the success of heart transplantation - p. 135 12. Chapter 9 Advancing precision surgery with artificial intelligence: Opportunities and challenges - p. 163 13. Chapter 10 Application of artificial intelligence in robotic surgery: An overview - p. 175 14. Chapter 11 Artificial intelligence in plastic surgery: The future of reconstruction and aesthetics - p. 197 15. Section IV: Domain-specific success stories in medical science through artificial intelligence intervention - p. S4 16. Chapter 12 Artificial intelligence in assisted reproduction: Navigating the next frontier in fertility care - p. 213 17. Chapter 13 Appications of artificial intelligence in cardiovascular disorders - p. 225 18. Chapter 14 The use of artificial intelligence in ophthalmology - p. 241 19. Chapter 15 The roles of machine learning and artificial intelligence in the prediction of autoimmune disease - p. 249 20. Section V: Artificial intelligence in neuropsychiatric rehabilitation - p. S5 21. Chapter 16 Artificial intelligence in psychotherapy and counseling - p. 267 22. Chapter 17 Brain–computer interfaces for neuromotor rehabilitation - p. 281 23. Chapter 18 Artificial intelligence in the detection and mitigation of neurological and psychiatric conditions - p. 305 24. Chapter 19 Application of artificial intelligence in early diagnosis of alpha-synucleinopathies - p. 317 25. Section VI: Artificial intelligence in the infrastructural augmentation of healthcare industry - p. S6 26. Chapter 20 Artificial intelligence (AI) in wastewater treatment - p. 331 27. Chapter 21 Artificial intelligence-driven value creation and investment strategy in healthcare innovation - p. 347 28. Chapter 22 Addressing India’s rural healthcare gaps utilizing generative artificial intelligence (AI) and agentic intelligence - p. 365 29. Section VII: New frontiers of artificial intelligence - p. S7 30. Chapter 23 Quantum artificial intelligence for human health: A statistical framework - p. 375 31. Chapter 24 Use of artificial intelligence in microbiome research - p. 387 32. Chapter 25 The role of artificial intelligence and machine learning in genomics - p. 405 33. Chapter 26 Artificial intelligence-assisted drug designing, toxicity assessment, and biodelivery - p. 417 34. Chapter 27 The role of generative artificial intelligence in personalized drug development and safety - p. 435 35. Chapter 28 Artificial intelligence at the heart of nutrigenomics: Machine learning for a customized diet - p. 455 36. Chapter 29 New frontiers in organoid research: The synergistic integration of organoids with artificial intelligence - p. 465 37. Chapter 30 Artificial intelligence (AI)-enabled organoids and three-dimensional (3D) in vitro models for clinical applications and precision medicine (PM) - p. 483 38. Chapter 31 Leveraging artificial intelligence (AI) in herbal medicinal plant extracts: Pathway to drug development - p. 501 39. Chapter 32 Drug discovery from medicinal plants and natural products: Opportunities for advancement with artificial intelligence - p. 511 40. Section VIII: Ethical considerations and the future of artificial intelligence - p. S8 41. Chapter 33 Ethical frontiers: Navigating public health responsibilities in the age of artificial intelligence - p. 525 42. Chapter 34 Ethical issues of artificial intelligence in biomedical applications - p. 535 43. Chapter 35 Minimizing vulnerability of artificial intelligence (AI) programs from cyberattacks - p. 551 44. Glossary of AI terminologies - p. 573 45. Index - p. 585
Applications of Artificial Intelligence in Healthcare: The Changing Landscape takes a systematic approach, discussing the benefits and achievements of AI while also exploring the questions and challenges of AI as it relates to health and medicine. 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-counseling, 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 the 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.
1. Section I: Introduction to artificial intelligence and healthcare - p. S1 2. Chapter 1 Artificial intelligence and emotional intelligence: Can machines understand human emotions? - p. 3 3. Chapter 2 Understanding key machine learning algorithms as artificial intelligence-assisted prediction tools in clinical medicine: A mathematical overview - p. 19 4. Chapter 3 State of the art artificial intelligence assisted disease detection tools - p. 37 5. Section II: The role of artificial intelligence in holistic healthcare and disease diagnosis - p. S2 6. Chapter 4 Application of artificial intelligence chatbots for primary diagnosis at home - p. 57 7. Chapter 5 Adaptive network-based fuzzy inference system-enhanced bidirectional time-aware LSTM for clinical sequence prediction - p. 71 8. Chapter 6 Applications of artificial intelligence in infectious diseases - p. 93 9. Chapter 7 Artificial intelligence-assisted imaging technologies for disease diagnosis - p. 117 10. Section III: Use of artificial intelligence in organ transplantation and precision surgery - p. S3 11. Chapter 8 Predictive artificial intelligence to increase the success of heart transplantation - p. 135 12. Chapter 9 Advancing precision surgery with artificial intelligence: Opportunities and challenges - p. 163 13. Chapter 10 Application of artificial intelligence in robotic surgery: An overview - p. 175 14. Chapter 11 Artificial intelligence in plastic surgery: The future of reconstruction and aesthetics - p. 197 15. Section IV: Domain-specific success stories in medical science through artificial intelligence intervention - p. S4 16. Chapter 12 Artificial intelligence in assisted reproduction: Navigating the next frontier in fertility care - p. 213 17. Chapter 13 Appications of artificial intelligence in cardiovascular disorders - p. 225 18. Chapter 14 The use of artificial intelligence in ophthalmology - p. 241 19. Chapter 15 The roles of machine learning and artificial intelligence in the prediction of autoimmune disease - p. 249 20. Section V: Artificial intelligence in neuropsychiatric rehabilitation - p. S5 21. Chapter 16 Artificial intelligence in psychotherapy and counseling - p. 267 22. Chapter 17 Brain–computer interfaces for neuromotor rehabilitation - p. 281 23. Chapter 18 Artificial intelligence in the detection and mitigation of neurological and psychiatric conditions - p. 305 24. Chapter 19 Application of artificial intelligence in early diagnosis of alpha-synucleinopathies - p. 317 25. Section VI: Artificial intelligence in the infrastructural augmentation of healthcare industry - p. S6 26. Chapter 20 Artificial intelligence (AI) in wastewater treatment - p. 331 27. Chapter 21 Artificial intelligence-driven value creation and investment strategy in healthcare innovation - p. 347 28. Chapter 22 Addressing India’s rural healthcare gaps utilizing generative artificial intelligence (AI) and agentic intelligence - p. 365 29. Section VII: New frontiers of artificial intelligence - p. S7 30. Chapter 23 Quantum artificial intelligence for human health: A statistical framework - p. 375 31. Chapter 24 Use of artificial intelligence in microbiome research - p. 387 32. Chapter 25 The role of artificial intelligence and machine learning in genomics - p. 405 33. Chapter 26 Artificial intelligence-assisted drug designing, toxicity assessment, and biodelivery - p. 417 34. Chapter 27 The role of generative artificial intelligence in personalized drug development and safety - p. 435 35. Chapter 28 Artificial intelligence at the heart of nutrigenomics: Machine learning for a customized diet - p. 455 36. Chapter 29 New frontiers in organoid research: The synergistic integration of organoids with artificial intelligence - p. 465 37. Chapter 30 Artificial intelligence (AI)-enabled organoids and three-dimensional (3D) in vitro models for clinical applications and precision medicine (PM) - p. 483 38. Chapter 31 Leveraging artificial intelligence (AI) in herbal medicinal plant extracts: Pathway to drug development - p. 501 39. Chapter 32 Drug discovery from medicinal plants and natural products: Opportunities for advancement with artificial intelligence - p. 511 40. Section VIII: Ethical considerations and the future of artificial intelligence - p. S8 41. Chapter 33 Ethical frontiers: Navigating public health responsibilities in the age of artificial intelligence - p. 525 42. Chapter 34 Ethical issues of artificial intelligence in biomedical applications - p. 535 43. Chapter 35 Minimizing vulnerability of artificial intelligence (AI) programs from cyberattacks - p. 551 44. Glossary of AI terminologies - p. 573 45. Index - p. 585
