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Chapter 13 Future trends and innovations of AI in healthcare

  • Rishabha Malviya , Shristy Verma , Sonali Sundram and Harshil Shah
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Abstract

Artificial intelligence (AI)is an important technological advancement that has allowed humans to replace manual labor at greater psychological and logical capacities in various industries, beyond the physical labor promoted by machines. The chapter emphasizes the future trends and other innovations present in AI in the healthcare system. AI has advanced quickly in recent years along is now being applied to offer many benefits in the crucial healthcare industry. An overview of AI’s current status in the medical and healthcare fields is given in the chapter, with an emphasis on the technology’s future. AI is now being used to provide numerous advantages in the vital healthcare sector, particularly in the areas of early detection and diagnostics. With future health care delivered through the H-IoT system being a reality owing to the development of vital methods that the scientific community has assisted in paving the way for, the state of the technology today offers countless opportunities for enhancement and innovation. AI is now being used to provide numerous advantages in the vital healthcare sector, especially in the areas of early detection and diagnostics. AI will be utilized in smarter hospitals and patient-physician interactions in the future of smart-connected healthcare (SCH).

Abstract

Artificial intelligence (AI)is an important technological advancement that has allowed humans to replace manual labor at greater psychological and logical capacities in various industries, beyond the physical labor promoted by machines. The chapter emphasizes the future trends and other innovations present in AI in the healthcare system. AI has advanced quickly in recent years along is now being applied to offer many benefits in the crucial healthcare industry. An overview of AI’s current status in the medical and healthcare fields is given in the chapter, with an emphasis on the technology’s future. AI is now being used to provide numerous advantages in the vital healthcare sector, particularly in the areas of early detection and diagnostics. With future health care delivered through the H-IoT system being a reality owing to the development of vital methods that the scientific community has assisted in paving the way for, the state of the technology today offers countless opportunities for enhancement and innovation. AI is now being used to provide numerous advantages in the vital healthcare sector, especially in the areas of early detection and diagnostics. AI will be utilized in smarter hospitals and patient-physician interactions in the future of smart-connected healthcare (SCH).

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Foreword VII
  4. Contents IX
  5. Chapter 1 Introduction to smart pharma: foundation of AI and big data 1
  6. Chapter 2 Emerging technology in pharma and the role of AI and blockchain 19
  7. Chapter 3 Partnership and collaboration in the pharmaceutical industry 37
  8. Chapter 4 Education and training in smart pharma 55
  9. Chapter 5 Drug manufacturing and quality control with artificial intelligence 77
  10. Chapter 6 Drug development and clinical trial via artificial intelligence 97
  11. Chapter 7 AI-driven clinical decision support systems for pharma executives 121
  12. Chapter 8 AI-based pharmacovigilance and drug safety 143
  13. Chapter 9 Intellectual property and data privacy in the pharmaceutical sector 163
  14. Chapter 10 Regulatory affairs and compliance in the pharmaceutical sector 183
  15. Chapter 11 AI and big data in post-marketing surveillance 201
  16. Chapter 12 Challenges and ethical considerations 219
  17. Chapter 13 Future trends and innovations of AI in healthcare 237
  18. Index 253
https://doi.org/10.1515/9783111574288-013

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Foreword VII
  4. Contents IX
  5. Chapter 1 Introduction to smart pharma: foundation of AI and big data 1
  6. Chapter 2 Emerging technology in pharma and the role of AI and blockchain 19
  7. Chapter 3 Partnership and collaboration in the pharmaceutical industry 37
  8. Chapter 4 Education and training in smart pharma 55
  9. Chapter 5 Drug manufacturing and quality control with artificial intelligence 77
  10. Chapter 6 Drug development and clinical trial via artificial intelligence 97
  11. Chapter 7 AI-driven clinical decision support systems for pharma executives 121
  12. Chapter 8 AI-based pharmacovigilance and drug safety 143
  13. Chapter 9 Intellectual property and data privacy in the pharmaceutical sector 163
  14. Chapter 10 Regulatory affairs and compliance in the pharmaceutical sector 183
  15. Chapter 11 AI and big data in post-marketing surveillance 201
  16. Chapter 12 Challenges and ethical considerations 219
  17. Chapter 13 Future trends and innovations of AI in healthcare 237
  18. Index 253
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