Artificial Intelligence in Clinical Practice
eBook - ePub

Artificial Intelligence in Clinical Practice

How AI Technologies Impact Medical Research and Clinics

  1. 300 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence in Clinical Practice

How AI Technologies Impact Medical Research and Clinics

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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Yes, you can access Artificial Intelligence in Clinical Practice by Chayakrit Krittanawong in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Molecular Biology. We have over one million books available in our catalogue for you to explore.

Table of contents

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