Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care.
Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Dedication - p. iv 6. List of Illustrations - p. xxvii 7. Foreword by Adam Dimitrov - p. xxix 8. Foreword by Ernst Nicolitz - p. xxxi 9. Preface - p. xxxiii 10. Acknowledgments - p. xxxv 11. Section I: Artificial intelligence (AI): Understanding the technology - p. xxxvi 12. 1. The evolution of artificial intelligence (AI) - p. 7 13. 2. The basic computer - p. 13 14. 3. The science and technologies of artificial intelligence (AI) - p. 29 15. Section II: Artificial intelligence (AI): Applications in health and wellness - p. 68 16. 4. AI applications in the business and administration of health care - p. 79 17. 5. AI applications in diagnostic technologies and services - p. 125 18. Abstract - p. 125 19. 5.1 Major diagnostic technologies and their AI applications - p. 127 20. 5.2 Additional diagnostic technologies and their AI applications - p. 178 21. References - p. 190 22. 6. Current AI applications in medical therapies and services - p. 199 23. Abstract - p. 199 24. 6.1 Medical care (primary, secondary, tertiary, quaternary care) - p. 200 25. 6.2 Pharmaceutical and biopharmaceutical care - p. 212 26. 6.3 Hospital care - p. 220 27. 6.4 Nursing care - p. 227 28. 6.5 Home health care, nursing homes and hospice care - p. 235 29. 6.6 Concurrent medical conditions (“comorbidity,” aka “multimorbidity”) - p. 242 30. 6.7 Medical/surgical robotics - p. 251 31. 6.8 Stem cells and regenerative medicine - p. 257 32. 6.9 Genetics and genomics therapies - p. 265 33. References - p. 276 34. 7. AI applications in prevalent diseases and disorders - p. 293 35. Abstract - p. 293 36. 7.1 Immunology and autoimmune disease - p. 294 37. 7.2 Genetic and genomic disorders - p. 308 38. 7.3 Cancers - p. 314 39. 7.4 Vascular (cardiovascular and cerebrovascular) disorders - p. 320 40. 7.5 Diabetes (type 1 and 2) - p. 332 41. 7.6 Neurological and sensory disorders and diseases - p. 337 42. 7.7 Musculoskeletal disorders (MSDs) - p. 351 43. 7.8 Integumentary system and exocrine glands - p. 356 44. 7.9 Endocrine glands - p. 363 45. 7.10 Digestive and excretory systems - p. 368 46. 7.11 Renal system and urinary system - p. 371 47. 7.12 Respiratory (pulmonary) system - p. 374 48. 7.13 Reproductive systems - p. 386 49. 7.14 Physical injuries, wounds and disabilities - p. 393 50. 7.15 Infectious disease - p. 400 51. 7.16 Human development, aging, degeneration and death - p. 406 52. 7.17 Chronic disease - p. 412 53. 7.18 Mental and behavioral disorders - p. 414 54. 7.19 Nutrition and exercise (preventive care) - p. 418 55. References - p. 422 56. 8. SARS-CoV-2 and the COVID-19 pandemic - p. 445 57. Epilogue - p. 469 58. Glossary of terminology - p. 473 59. Glossary of abbreviations - p. 497 60. Index - p. 505
Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care.
Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Dedication - p. iv 6. List of Illustrations - p. xxvii 7. Foreword by Adam Dimitrov - p. xxix 8. Foreword by Ernst Nicolitz - p. xxxi 9. Preface - p. xxxiii 10. Acknowledgments - p. xxxv 11. Section I: Artificial intelligence (AI): Understanding the technology - p. xxxvi 12. 1. The evolution of artificial intelligence (AI) - p. 7 13. 2. The basic computer - p. 13 14. 3. The science and technologies of artificial intelligence (AI) - p. 29 15. Section II: Artificial intelligence (AI): Applications in health and wellness - p. 68 16. 4. AI applications in the business and administration of health care - p. 79 17. 5. AI applications in diagnostic technologies and services - p. 125 18. Abstract - p. 125 19. 5.1 Major diagnostic technologies and their AI applications - p. 127 20. 5.2 Additional diagnostic technologies and their AI applications - p. 178 21. References - p. 190 22. 6. Current AI applications in medical therapies and services - p. 199 23. Abstract - p. 199 24. 6.1 Medical care (primary, secondary, tertiary, quaternary care) - p. 200 25. 6.2 Pharmaceutical and biopharmaceutical care - p. 212 26. 6.3 Hospital care - p. 220 27. 6.4 Nursing care - p. 227 28. 6.5 Home health care, nursing homes and hospice care - p. 235 29. 6.6 Concurrent medical conditions (“comorbidity,” aka “multimorbidity”) - p. 242 30. 6.7 Medical/surgical robotics - p. 251 31. 6.8 Stem cells and regenerative medicine - p. 257 32. 6.9 Genetics and genomics therapies - p. 265 33. References - p. 276 34. 7. AI applications in prevalent diseases and disorders - p. 293 35. Abstract - p. 293 36. 7.1 Immunology and autoimmune disease - p. 294 37. 7.2 Genetic and genomic disorders - p. 308 38. 7.3 Cancers - p. 314 39. 7.4 Vascular (cardiovascular and cerebrovascular) disorders - p. 320 40. 7.5 Diabetes (type 1 and 2) - p. 332 41. 7.6 Neurological and sensory disorders and diseases - p. 337 42. 7.7 Musculoskeletal disorders (MSDs) - p. 351 43. 7.8 Integumentary system and exocrine glands - p. 356 44. 7.9 Endocrine glands - p. 363 45. 7.10 Digestive and excretory systems - p. 368 46. 7.11 Renal system and urinary system - p. 371 47. 7.12 Respiratory (pulmonary) system - p. 374 48. 7.13 Reproductive systems - p. 386 49. 7.14 Physical injuries, wounds and disabilities - p. 393 50. 7.15 Infectious disease - p. 400 51. 7.16 Human development, aging, degeneration and death - p. 406 52. 7.17 Chronic disease - p. 412 53. 7.18 Mental and behavioral disorders - p. 414 54. 7.19 Nutrition and exercise (preventive care) - p. 418 55. References - p. 422 56. 8. SARS-CoV-2 and the COVID-19 pandemic - p. 445 57. Epilogue - p. 469 58. Glossary of terminology - p. 473 59. Glossary of abbreviations - p. 497 60. Index - p. 505
