AI Applications in Healthcare

Editor

Shivakumar Sambari

Introduction

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, personalizing treatment, optimizing hospital workflows, and improving patient outcomes. From predictive analytics to robotic surgery, AI is enabling healthcare professionals to make more accurate decisions, reduce operational inefficiencies, and provide better patient care. This book aims to explore the latest advancements, challenges, and applications of AI in healthcare, providing insights into its potential to transform the medical field.

Target Audience

This book is intended for:

  • Healthcare professionals and medical practitioners.
  • AI and machine learning researchers.
  • Biomedical engineers and data scientists.
  • Health informatics specialists.
  • Policy-makers and healthcare administrators.
  • Academics and students in AI, healthcare, and related fields.

Objective

The primary objective of this book is to present cutting-edge research and practical applications of AI in healthcare. It will provide an interdisciplinary platform for healthcare professionals, AI researchers, data scientists, and policymakers to discuss:

  • The integration of AI technologies in clinical and administrative settings.
  • Ethical and regulatory considerations for AI in healthcare.
  • The impact of AI on medical diagnosis, treatment planning, and patient management.
  • Future directions and challenges in AI-driven healthcare innovation.

Recommended Topics

We invite researchers and professionals to contribute original chapters covering, but not limited to, the following topics:

AI in Diagnosis and Treatment

  • Machine learning for disease prediction and diagnosis

  • AI-driven medical imaging and radiology

  • AI applications in personalized medicine

  • AI in drug discovery and development

AI in Healthcare Operations

  • AI in hospital management and patient flow optimization

  • AI-powered electronic health records (EHR)

  • Predictive analytics for patient care and resource allocation

  • Virtual health assistants and AI-driven chatbots

Ethical, Legal, and Social Aspects

  • Ethical considerations in AI-powered healthcare

  • Data privacy, security, and compliance in AI healthcare applications

  • Bias and fairness in AI-based medical decision-making

Emerging Technologies and Future Directions

  • AI in telemedicine and remote patient monitoring

  • AI-driven robotics in surgery and rehabilitation

  • Integration of AI with wearable healthcare devices

  • AI and Internet of Medical Things (IoMT)

Important Dates

  • Abstract Submission Deadline: March 15, 2025
  • Full Chapter Submission Deadline: May 1, 2025