Call for Book Chapters – ISBN-Numbered International Book with DOI
We invite researchers, academicians, and professionals to contribute chapters to the book, "The Impact of Artificial Intelligence in Healthcare Management," scheduled for publication in May 2025. This book explores the transformative role of AI in revolutionizing healthcare systems, improving patient outcomes, and addressing emerging challenges in the field.
- Sub-Themes
- Editorial Board
- Author Benefits
Sub-Themes (Not Limited To):
AI in Medical Diagnostics: Machine learning and deep learning applications in disease detection and diagnosis.
AI in Patient Care & Hospital Management: Smart healthcare solutions, automation in hospital administration, and AI-driven patient engagement.
AI in Drug Discovery & Personalized Medicine: AI-assisted pharmaceutical research, genomics, and tailored treatment plans.
Predictive Analytics & Disease Prevention: AI for early disease detection, outbreak prediction, and preventive healthcare strategies.
Telemedicine & Remote Healthcare: AI-driven virtual consultations, wearable technology, and remote patient monitoring.
Ethical & Regulatory Challenges in AI Healthcare: Data privacy, bias in AI models, and legal frameworks for AI applications in medicine.
AI for Mental Health & Rehabilitation: Chatbots, virtual therapists, and AI-assisted treatment for mental health conditions.
AI in Healthcare Supply Chain & Logistics: Optimizing resource allocation, drug distribution, and AI-powered medical inventory management.
AI in Medical Imaging: Computer vision applications for radiology, pathology, and advanced imaging techniques.
AI in Surgical Robotics: The role of AI-powered robotic surgery in precision healthcare.
AI and Blockchain in Healthcare: Enhancing security, interoperability, and data sharing in medical records.
AI for Elderly and Disabled Care: Assistive AI technologies, smart home healthcare, and AI-powered mobility solutions.
Natural Language Processing (NLP) in Healthcare: AI-powered clinical documentation, chatbot assistants, and automated medical transcription.
AI in Public Health & Epidemiology: AI-driven data analysis for pandemic preparedness, policy-making, and global health monitoring.
📌 Submission Deadline: April 25, 2025 | 📌 Publication Date: May 2025
Submissions on related topics are also welcome, as the book aims to cover a broad spectrum of AI applications in healthcare.
Chief Editor
Dr. Angshuman De
MBBS, MD (Biochemistry)
Lean and Six Sigma Green Belt Certified (QCI)
CHRM (Certified in Healthcare Risk Management)
CPQIH-Basic (CAHO)
Associate Professor, Department of Biochemistry, RKMSP, Ramakrishna Mission Seva Pratishthan, Kolkata, India
Consultant Clinical Biochemist & Quality Assurance Professional
Apollo Clinic (FMC Healthcare), Urban Healthcare Hospital, Kolkata
Internal Auditor LQMS (ISO 15189:2022, 2012, 2007)
Ex-Associate Professor (Biochemistry), West Bengal Medical Education Service
Editors
Dr. Mythili Bai K
Faculty, Department of Physiology, Govt. Siddhartha Medical College, Vijayawada, India
Dr. Madhavrao C
Faculty, Department of Pharmacology, AIIMS Mangalagiri, India
Dr. Ayesha Siddiqua
Assistant Professor, Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, KSA
Julie M. P
M.Sc, M.A, M.Ed
Research Scholar, Department of Zoology and Aquaculture, Acharya Nagarjuna University, Andhra Pradesh, India
Author Benefits
Authors will receive the following:
Soft copy of the book
Certificate of Appreciation as an Author
The book will be made available on Amazon Kindle
All publications will contribute to the academic growth of authors, helping them improve their academic scores for future endeavors. If required, authors can obtain a printed copy of the published book by making an additional payment of ₹ 415 per copy.