Overview
The call for chapter submissions for the edited book titled “IoT-Enabled Digital Health Solutions” is now open. This publication, which will be considered by Bentham Science for release, aims to delve into the innovative applications of the Internet of Medical Things (IoMT) and various digital technologies in contemporary healthcare practices. This initiative is significant for the AI and healthcare communities, as it seeks to highlight the intersection of technology and health, showcasing advancements that could enhance patient care and operational efficiency.
Background & Relevance
The integration of IoT technologies in healthcare is transforming the landscape of medical services. With the rise of wearable devices, machine learning applications, and smart sensors, the potential for improving patient outcomes and streamlining healthcare processes is immense. The book aims to cover a wide range of topics, including but not limited to, wearable technologies, EEG analysis, and the role of AI in healthcare. This focus is crucial as the healthcare sector increasingly relies on digital solutions to address challenges and improve service delivery.
Key Details
- Abstract Submission Deadline: 15 December 2025
- Abstract Acceptance Notification: 30 December 2025
- Full Chapter Submission Deadline: 31 January 2026
- Acceptance/Revisions Notification: 28 February 2026
- Word Count: 5000–8000 words
- Similarity Index: Less than 10%
- AI Tools Usage: 0%
- Authors per Chapter: Up to 4–5, including at least one international contributor
- Submission Email: digitalhealth61@gmail.com
Eligibility & Participation
This call for chapters invites contributions from a diverse range of participants, including researchers, academicians, industry professionals, and practitioners who are engaged in the fields of IoT and digital health. The opportunity is designed for those who wish to share their insights and findings related to the innovative use of technology in healthcare.
Submission or Application Guidelines
Interested contributors should prepare their abstracts according to the specified deadlines. Upon acceptance of the abstract, authors will be invited to submit full chapters, adhering to the word count and similarity index requirements. It is essential that contributions maintain a high standard of originality, with no use of AI tools in the writing process.
More Information
The convergence of IoT and healthcare is a rapidly evolving field, with significant implications for patient care and health management. This book aims to provide a comprehensive overview of current trends, challenges, and future directions in IoMT and digital health solutions. By contributing to this publication, authors will be part of a crucial dialogue on how technology can enhance healthcare delivery and outcomes.
Conclusion
This is a valuable opportunity for those involved in the intersection of technology and healthcare to share their expertise and research. Interested individuals are encouraged to submit their abstracts and contribute to this important work. Please share this call widely within your networks to foster a diverse range of contributions.
Category: CFP & Deadlines
Tags: iot, digital health, machine learning, wearable technology, healthcare, neural networks, blockchain, deep learning, health tech, medical devices, cybersecurity, smart sensors
