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