Artificial Intelligence in Clinical Practice
eBook - ePub

Artificial Intelligence in Clinical Practice

How AI Technologies Impact Medical Research and Clinics

Chayakrit Krittanawong

  1. 300 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Artificial Intelligence in Clinical Practice

How AI Technologies Impact Medical Research and Clinics

Chayakrit Krittanawong

Book details
Table of contents
Citations

About This Book

Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN.

This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine.

  • Provides the history and overview of the various modalities of AI and their applications within each field of medicine
  • Discusses current AI-based medical research, including landmark trials within each field of medicine
  • Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice
  • Encompasses examples of specific cases and discusses challenges and biases associated with AI

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Information

Publisher
Academic Press
Year
2023
ISBN
9780443156892
Topic
Computer Science
Subtopic
Bioinformatics
Index
Computer Science

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of contributors
  6. Foreword
  7. Chapter 1. Artificial intelligence in primary care
  8. Chapter 2. Artificial intelligence in general internal medicine
  9. Chapter 3. Artificial intelligence devices and assessment in medical imaging
  10. Chapter 4. Artificial intelligence in anatomical pathology
  11. Chapter 5. Artificial intelligence in clinical microbiology
  12. Chapter 6. Artificial intelligence on interventional cardiology
  13. Chapter 7. Artificial intelligence in heart failure and transplant
  14. Chapter 8. Artificial intelligence in hematology
  15. Chapter 9. Artificial intelligence in oncology
  16. Chapter 10. Artificial intelligence in ophthalmology I: retinal diseases
  17. Chapter 11. Artificial intelligence in ophthalmology II: glaucoma
  18. Chapter 12. Artificial intelligence in ophthalmology III: systemic disease prediction
  19. Chapter 13. Artificial intelligence in respiratory medicine
  20. Chapter 14. Artificial intelligence in critical care
  21. Chapter 15. Artificial intelligence in dermatopathology
  22. Chapter 16. Artificial intelligence in infectious diseases
  23. Chapter 17. Artificial intelligence in neglected tropical diseases
  24. Chapter 18. Artificial intelligence in psychiatry: current practice and major challenges
  25. Chapter 19. Application of artificial intelligence frameworks in the clinical practice of neurology: recent advances and future directions
  26. Chapter 20. Artificial intelligence in rheumatology
  27. Chapter 21. Artificial intelligence in endocrinology
  28. Chapter 22. Artificial intelligence in sleep medicine
  29. Chapter 23. Artificial intelligence in nephrology
  30. Chapter 24. Artificial intelligence in surgery
  31. Chapter 25. Artificial intelligence in cardiothoracic surgery: current applications and future perspectives
  32. Chapter 26. Artificial intelligence in orthopedics
  33. Chapter 27. Artificial intelligence in plastic surgery
  34. Chapter 28. Artificial intelligence in obstetrics and gynecology
  35. Chapter 29. Artificial intelligence in urology
  36. Chapter 30. Artificial intelligence in neurosurgery—a focus on neuro-oncology
  37. Chapter 31. Artificial intelligence in vascular surgery
  38. Chapter 32. Artificial intelligence in neonatal and pediatric intensive care units
  39. Chapter 33. Artificial intelligence in pediatrics
  40. Chapter 34. Artificial intelligence in pediatric congenital and acquired heart disease
  41. Chapter 35. Artificial intelligence in anesthesiology
  42. Chapter 36. Artificial intelligence in emergency medicine
  43. Chapter 37. Artificial intelligence in allergy and immunology
  44. Chapter 38. Artificial intelligence in medical genetics
  45. Chapter 39. Artificial intelligence in healthcare: a perspective from Google
  46. Chapter 40. Artificial intelligence drives the digital transformation of pharma
  47. Chapter 41. Artificial intelligence in regulatory decision-making for drug and biological products
  48. Chapter 42. Machine learning applications in toxicology
  49. Chapter 43. Artificial intelligence in adverse drug events
  50. Chapter 44. Artificial intelligence in mass spectrometry-based proteomics
  51. Chapter 45. Artificial intelligence and global health
  52. Chapter 46. Legal aspects of artificial intelligence in medical practice
  53. Chapter 47. Socioeconomic bias in applying artificial intelligence models to health care
  54. Chapter 48. Artificial intelligence in dermatology
  55. Chapter 49. Artificial intelligence in gastroenterology and hepatology
  56. Chapter 50. Artificial intelligence in nutrition research
  57. Chapter 51. Artificial intelligence in cardiac electrophysiology
  58. Index