Generative AI in Modern Healthcare

Rohit Vashisht, Sapna Juneja, Sandeep Kautish

• Publisher: Bentham Science Publishers
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798898814984
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Generative AI in Modern Healthcare brings together research and practical insights on how technologies like machine learning, deep learning, generative AI, and federated learning are transforming healthcare. It explains how these tools are improving diagnosis, treatment planning, and patient care.

The book covers key areas such as personalised medicine, predictive analytics, telemedicine, and AI-based healthcare systems. It also highlights the growing role of AI in medical imaging and diagnostics across fields like radiology, pathology, and cardiology.

In addition, the book explores how AI supports drug discovery, disease prediction, and clinical decision-making, using real-world examples and datasets. It also discusses key challenges, including data quality, bias, privacy, and ethical concerns, as well as secure approaches such as federated learning.

Overall, the book provides a clear understanding of how AI is shaping modern healthcare and improving outcomes.

Key Features

Covers major AI applications in healthcare, including diagnosis and patient care

Explains machine learning, deep learning, and generative AI in simple terms

Includes real-world examples and case studies

Highlights AI use in drug discovery and personalised medicine

Discusses ethics, privacy, and data challenges

Introduces emerging tools like federated learning and large language models

Target Readership

Researchers, academics, students, and professionals in AI, data science, healthcare, and biomedical fields.

Table of contents

• BENTHAM SCIENCE PUBLISHERS LTD.
• FOREWORD
• PREFACE
• List of Contributors
• AI in Healthcare: Pioneering Innovations for Improved Patient Care and Future Medical Advancements
• A Review of Studies on AI-Driven Healthcare Innovation: Pathway to Next-Generation Healthcare
• New Metrics for Assessing the Effectiveness of Medical Consultation Recommendations
• DL in Healthcare: From Data to Diagnosis
• The Role of Artificial Intelligence in the Healthcare Sector
• Generative AI in Personalized Medicine: Advancing Patient Outcome Prediction
• Healing with Data: Generative AI in Medical Diagnosis
• Transforming Healthcare: The Role of AI in Elevating Diagnostic Accuracy in Medical Imaging
• Enhancing Drug Discovery Using Predictive Analytics and Machine Learning in Drug Design
• Privacy-Preserving Federated Learning for Secure Deployment of Large Language Models in Healthcare and Financial Sectors