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"Sustainability in Healthcare: Advances in mHealth AI and Robotics" explores sustainable methods in the healthcare industry, focusing on rural and community healthcare improvement, the use of robots for sustainability, and the implementation of AI in healthcare. It also explores additive manufacturing, mobile health, biomedical engineering, and telemedicine's role in healthcare sustainability management. The book also discusses the ethical concerns, environmental, social, and economic implications of sustainability in healthcare supply chain management and pandemic management.

The digital revolution has transformed financial services, offering unparalleled convenience and accessibility to customers around the globe. With this rapid transformation, however, comes a growing wave of sophisticated fraud attempts that threaten the trust and stability of the financial ecosystem. As financial transactions become increasingly digital, fraudsters have harnessed advanced technologies to exploit vulnerabilities, challenging institutions to remain one step ahead in securing their operations and protecting their customers. Artificial Intelligence (AI) has emerged as a powerful tool in the fight against fraud. Unlike traditional methods that rely heavily on manual interventions and static rule-based systems, AI brings dynamic, data-driven solutions capable of detecting, predicting, and mitigating fraudulent activities in real time. Its ability to analyze vast datasets, identify subtle patterns, and adapt to evolving threats makes AI an indispensable ally in safeguarding the digital financial landscape. This book, AI-Driven Fraud Prevention: Enhancing Security and Customer Experience in Digital Financial Services, explores the transformative role of AI in reshaping fraud prevention strategies. It provides a comprehensive examination of how AI-powered tools and techniques not only bolster security but also enhance the customer experience by minimizing disruptions, ensuring seamless transactions, and building trust. The inspiration for this book arises from the vital role that network health plays in the stability and scalability of cloud platforms. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. This book is designed for a wide audience, including financial service professionals, cybersecurity experts, data scientists, and policymakers. It offers practical insights, strategic frameworks, and actionable recommendations to help organizations effectively leverage AI for fraud prevention while maintaining a strong focus on customer satisfaction. Thank you for joining us on this journey toward greater system reliability and performance. Authors