This book explores the intersection of artificial intelligence and healthcare with a focus on generative intelligence. The book will introduce the concept of generative intelligence and its transformative potential in patient care, showcasing applications that go beyond conventional AI approaches.

Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity delves into the use of generative models for personalized medicine, data analytics, and predictive modelling, providing real-world examples of how AI creativity can revolutionize treatment strategies and diagnostic processes. It focuses on the origin and basics of generative AI, generative AI models, and possible areas in healthcare where generative AI can work. It discusses how generative AI model will help healthcare providers automatically generate prescriptions, discharge summaries, and patient conditions. The unique strength of this book lies in its comprehensive examination of ethical considerations and regulatory frameworks, ensuring a responsible and transparent integration of generative intelligence in healthcare. By addressing current challenges and envisioning future directions, this book serves as a valuable resource for healthcare professionals, researchers, and policymakers seeking to harness the full potential of AI creativity to enhance patient outcomes.

The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science.

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Yes, you can access Generative Intelligence in Healthcare by Sakshi Gupta,Umesh Gupta,Moolchand Sharma,Kamal Malik in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Diagnostics Imaging. We have over one million books available in our catalogue for you to explore.

Information

Publisher

CRC Press

Year

2025

eBook ISBN

9781040329771

Edition

Topic

Technology & Engineering

Subtopic

Diagnostics Imaging

Index

Technology & Engineering

Cover
Half Title
Series
Title
Copyright
Dedication
Contents
About the Editors
List of Contributors
Introduction
Preface
Chapter 1 Drug Discovery and Development with Generative Artificial Intelligence
Chapter 2 Generative Models for Image-to-Image Translation: Theoretical Insights, Methodological Frameworks, and Practical Applications
Chapter 3 Generative Models in Medical Imaging
Chapter 4 Revolutionizing Healthcare: The Impact of Generative AI and Large Language Models
Chapter 5 Artificial Intelligence in Nanocarrier Design and Drug Delivery via Nanorobotics-Based Personalised Medicine for Cancer Diagnostics and Therapy
Chapter 6 Large Language Models in Healthcare Information Systems: Overcoming Challenges to Achieve Personalized Care
Chapter 7 Predictive Analytics for Early Cancer Detection Using Machine Learning and Generative AI
Chapter 8 Revolutionizing Medicine: The Impact of Artificial Intelligence in Healthcare
Chapter 9 Deep Learning Innovations in Healthcare: Early Detection of Alzheimer’s Disease
Chapter 10 Generative AI in Personalized Medicine: Enhancing Data Privacy and Precision Treatment
Chapter 11 Transforming Healthcare through Generative AI
Chapter 12 Unlocking Healthcare’s Potential with Natural Language Processing
Chapter 13 Recent Applications of Artificial Intelligence in the Process of Drug Discovery and Development
Index

About this book

Frequently asked questions

Information

Table of contents