Call for Chapters: Generative AI Techniques for Sustainability in Healthcare Security

Editors

Imdad Ali Shah, School of Computing Science SC, Taylor's University, Malaysia, Malaysia
Qurat sial, Aga Khan University Hospital (AKUH), Karachi, Pakistan
Sana Fateh, Sindh Government Lyari General Hospital, Pakistan

Call for Chapters

Proposals Submission Deadline: May 26, 2024
Full Chapters Due: August 18, 2024
Submission Date: August 18, 2024

Introduction

In a world of constant change, sustainability and technology emerge as pivotal elements in healthcare. Generative AI presents the capabilities of more accurate diagnoses, personalized treatment plans, and drug discovery. While certain operations in healthcare, such as managing relationships with healthcare systems, often necessitate a human touch, these processes can be augmented by generative AI. Sustainability and health security are becoming increasingly important as both issues continue to rise in importance. The relationship between sustainability and health security is significant, as environmental factors such as air pollution, climate change, and access to green spaces can all affect human health.

Objective

This book aims to " Generative AI Techniques for Sustainability in Healthcare Security" 1. Educational Empowerment: To provide a comprehensive understanding of generative AI techniques and their application for sustainability in health security, empowering readers with the knowledge needed to leverage these cutting-edge technologies effectively. 2. Practical Guidance: To offer practical guidance on implementing generative AI solutions for various health security challenges, 3. Innovation and Adaptation: To inspire innovation and adaptation in healthcare practices by showcasing the transformative potential of generative AI techniques, encouraging readers to embrace emerging technologies to stay ahead of evolving health risks. 4. Collaborative Learning: To foster a collaborative learning environment where health professionals, researchers, and enthusiasts can share insights, experiences, and best practices in leveraging generative AI for Sustainability in health security, promoting knowledge exchange and community engagement.

Target Audience

The targeted audience of this book includes: 1. Generative AI and Health Security Professionals: Security analysts, incident responders, and IT professionals seeking to enhance their understanding of generative AI techniques and integrate them into their health security measures. 2. Researchers and Academics: Academics, researchers, and students in the fields of health, artificial intelligence, machine learning, and computer science are interested in exploring the intersection of generative AI and health security for academic study, research, and innovation. 3. Technology Enthusiasts: Technology enthusiasts and individuals passionate about health risks and emerging technologies who wish to expand their knowledge and stay informed about the latest advancements in the field. 4. Health security Consultants and Advisors: Health risk consultants, advisors, and solution providers looking to offer expertise and guidance on implementing generative AI solutions for sustainability in health security challenges.

Recommended Topics

The targeted audience of this book includes: 1. Automating Administrative Tasks 2. Medical Imaging Issues and Opportunities 3. Drug Discovery and Development. 4. Emerging E-Waste Crisis 5. Cloud Computing and Energy 6. Climate Predictions 7. Respiratory Diseases 8. Heart Disease 9. Medical Research and Data Analysis 10. Risk Prediction Pandemic Preparedness 11. Generating Synthetic Medical Data 12. Personalized Medicine 13. Ensure Data Privacy and Security 14. Collaboration With Healthcare Professionals 15. Ethical Guidelines and Bias Mitigation 16. Intuitive User-Friendly Interfaces 17. Continuous Training and Education 18. Clinical Validation and Regulatory Compliance 19. Transparent Decision-Making Processes 20. Advanced Diagnostics and Imaging Techniques. 21. Personalized Treatment Plans. 22. Drug Discovery and Development Processes. 23. Precision Medicine and Genomic Analysis. 24. Virtual Health Assistants and Patient Support 25. Enhanced Medical Research and Data Analysis. 26. Sustainable Healthcare

Submission Procedure

Researchers and practitioners are invited to submit on or before May 26, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 9, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by August 18, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Generative AI Techniques for Sustainability in Healthcare Security. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 26, 2024: Proposal Submission Deadline
June 9, 2024: Notification of Acceptance
August 18, 2024: Full Chapter Submission
September 29, 2024: Review Results Returned
October 27, 2024: Final Acceptance Notification
November 3, 2024: Final Chapter Submission



Inquiries

Imdad Ali Shah
School of Computing Science SC, Taylor's University, Malaysia
shahsyedimdadali@gmail.com

Qurat sial
Aga Khan University Hospital (AKUH), Karachi
quartulain.sial@gmail.com

Sana Fateh
Sindh Government Lyari General Hospital
drfateh1886@gmail.com



Classifications


Computer Science and Information Technology; Education; Medical, Healthcare, and Life Sciences
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