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Home Transforming Treatment: New Pathways to Lifesaving Care with Data and AI - Paperback
Transforming Treatment: New Pathways to Lifesaving Care with Data and AI
  • Artificial Intelligence,
  • Biomedical,
  • Books,
  • Computers,
  • Health Care Delivery,
  • Medical,
  • Technology & Engineering,

Transforming Treatment: New Pathways to Lifesaving Care with Data and AI - Paperback

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SKU 9798348265687
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by Ryan Bauer (Author)

AI and Machine Learning in Healthcare: Transforming the Future of Medicine

In an era where technology is reshaping every aspect of our lives, healthcare stands on the brink of a revolution. Artificial Intelligence and Machine Learning are no longer just buzzwords-they're powerful tools poised to transform the way we prevent, diagnose, and treat diseases.

This comprehensive guide takes you on a journey through the cutting-edge world of data and AI in healthcare. From the fundamentals of healthcare data to the latest advancements in clinical practice, drug discovery, and global health initiatives, this book offers an in-depth exploration of how AI is reshaping the medical landscape.

Written for healthcare professionals, technologists, and anyone interested in the future of medicine, this book:

  • Demystifies complex AI concepts and their applications in healthcare
  • Explores real-world case studies of AI improving patient outcomes
  • Delves into the ethical considerations and regulatory challenges of AI in medicine
  • Provides a global perspective on AI adoption in different healthcare systems
  • Offers insights into the future of AI-driven healthcare and how to prepare for it

Whether you're a doctor looking to understand how AI will impact your practice, a data scientist interested in healthcare applications, or a policymaker grappling with the implications of these technologies, this book provides the knowledge you need to navigate the AI-driven future of healthcare.

Discover how Artificial Intelligence is not just changing healthcare-it's revolutionizing it. Are you ready to be part of this transformation?

Number of Pages: 750
Dimensions: 2.04 x 9 x 6 IN
Publication Date: December 30, 2024

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