A Comprehensive Guide To Gen Ai In Healthcare Transformation 2025
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A Comprehensive Guide to Gen AI in Healthcare Transformation 2025
Author: Lakshman Kumar Jamili, Dr. Rahul Kumar
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
brink of a technological revolution, driven by the rapid advancements in artificial intelligence. Among the most groundbreaking innovations is Generative AI (Gen AI), a powerful subset of AI that is transforming diagnostics, personalized medicine, clinical workflows, and patient engagement. By leveraging deep learning models, Gen AI is not only enhancing decision-making for healthcare professionals but also improving outcomes, reducing costs, and optimizing operational efficiency. This book, A Comprehensive Guide to Gen AI in Healthcare Transformation, explores how generative AI is reshaping every facet of healthcare. From AI-assisted drug discovery and predictive analytics to automated documentation and virtual health assistants, we delve into the practical applications, benefits, and challenges of this emerging technology. Beyond its technical capabilities, Gen AI also raises critical ethical, regulatory, and privacy concerns. As healthcare institutions adopt AI-driven solutions, questions about data security, bias mitigation, and regulatory compliance become more pressing. This book provides a balanced perspective, addressing both the immense potential and the responsibilities that come with integrating AI into healthcare systems. Our goal is to equip healthcare professionals, researchers, policymakers, and technology leaders with the knowledge and insights needed to harness Gen AI effectively. Whether you are exploring AI’s role in medical research or seeking ways to implement AI-driven solutions in clinical practice, this book serves as a comprehensive guide to navigating the future of healthcare innovation. The transformation is already underway. The question is no longer if AI will redefine healthcare but howwe can maximize its impact responsibly and effectively. Authors
Artificial Intelligence in Healthcare
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