About the Book

Artificial Intelligence (AI) in healthcare is an emerging field focused on making the decisions and processes of AI systems transparent and understandable to humans, particularly healthcare professionals. This book will examine healthcare and artificial intelligence's complex and rapidly evolving intersection. The book will address the central research question: can we harness the power of AI to manage challenging situations in the healthcare industry? In an era where AI is transforming healthcare practices, from diagnosis and treatment to patient management and drug discovery, the book will explore the use of AI in healthcare. This comprehensive volume will navigate the intricate landscape of AI applications in healthcare, highlighting the crucial need to utilize these technological advancements.

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The book will address the pressing need for AI insights in a post-pandemic world. This book will capture the rapidly evolving AI landscape and offer practical guidance for healthcare professionals, researchers, and policymakers seeking to adapt and thrive. This book intends to go beyond superficial trends to explore the most significant advancements in AI. This book will give readers a deep understanding of the technologies, strategies, and innovations that shaped the industry's response to AI. This book will critically examine the ethical implications of AI advancements. This book will address key data privacy, security, and patient consent concerns and promote a responsible and human-centric approach to technology adoption.

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ISBN: 9781041036883

List of Topics

• Introduction

  • Overview of AI.

  • Overview of increased importance of AI.

• How AI Transformed Healthcare Industry

  • Exploration of specific challenges and disruptions.

  • Case studies of healthcare institutions adapting AI.

  • Analysis of the key drivers accelerating the adoption of AI.

  • Overview of the diverse digital health technologies.

  • Examination of the role of AI in enhancing patient care.

• AI in Healthcare Industry

  • Introduction to AI applications in healthcare.

  • Case studies demonstrating how AI insights have been used to improve patient outcomes, public health strategies, and decision-making.

  • Transformative potential of AI in healthcare.

  • Ethical considerations and challenges related to AI adoption in healthcare.

• Advancing Public Health through AI

  • Examination of how AI technologies contributed to public health responses during the pandemic.

  • Discussion on the role of AI in disease surveillance, outbreak management, and vaccine distribution.

• Ethics, Privacy, and Security in AI

  • Ethical concerns surrounding data usage and patient privacy.

  • Discussion of strategies and best practices to ensure data security.

• Policy and Regulation

  • Overview of existing regulatory frameworks and policies.

  • Exploration of policy to support responsible and equitable AI adoption.

• Building Resilient Healthcare Systems for the Future

  • Recommendations for integrating AI into disaster preparedness.

• Patient-Centric AI

  • Personalization in healthcare using AI

  • Customizable AI-driven treatment plans

  • Case studies on patient-specific AI applications

• Training Healthcare Professionals in AI

  • Developing AI literacy among healthcare workers

  • Training programs and certifications in AI

  • Impact of AI training on healthcare delivery

• Global Perspectives on AI in Healthcare

  • Comparative analysis of AI adoption across different countries

  • Cultural and regulatory factors influencing AI implementation

  • Lessons learned from global AI initiatives

• AI in Pharmaceutical Research and Development

  • Accelerating drug discovery with AI

  • AI in clinical trials and drug approval processes

  • Case studies on AI-driven breakthroughs in pharmaceuticals

• Future Trends in AI and AI for Healthcare

  • Emerging technologies and their potential impact

  • Predicting future developments in AI

  • Strategic planning for integrating future AI innovations

• Conclusion

  • Findings and insights from the previous chapters.

  • Call to action for healthcare stakeholders.

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