Del i serien Artificial Intelligence in Smart Healthcare Systems

Revolutionizing Healthcare Services

Unleashing Innovation through Generative AI

Inbunden, Engelska, 2025

AvBabita Singla,Kumar Shalender,Nripendra Singh,Sandhir Sharma

1 929 kr

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The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem.Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs.This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.

Produktinformation

Utgivningsdatum2025-06-09
Mått156 x 234 x 20 mm
Vikt690 g
FormatInbunden
SpråkEngelska
SerieArtificial Intelligence in Smart Healthcare Systems
Antal sidor269
FörlagTaylor & Francis Ltd
ISBN9781032871585

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Babita Singla is a Professor at the Chitkara Business School, Chitkara University, Punjab, India. She earned a PhD in management and is UGC-NET qualified. Dr. Singla has over 14 years of experience in teaching, research, and administration. In her career, she has been involved in important academic and research assignments, such as being the guest editor of a reputed journal, organizing and conducting international and national-level conferences and faculty development programs, and providing guidance for research projects. Her research has been published by Scopus, Springer, SCI, etc., and Dr. Singla has presented research papers at various national and international conferences.Kumar Shalender is a Post-Doctorate in the field of strategic and technology management. With 14 years of experience in business model development and diffusion of technology, Dr. Shalender is actively involved in system thinking, flexibility, and management of technology. He has written more than 70 research papers, including publications in esteemed journals in the fields of innovation, business model development, and sustainable business practices. Dr. Shalender is also a reviewer for several reputed publications.Nripendra Singh is a Fulbright Fellow, which is a flagship program of the U.S. Department of State, and he has completed research at the Pennsylvania State University. He has published in reputed journals and has received a prestigious grant from the Pennsylvania State System of Higher Education (PASSHE-FPDC) integrating Clarion University, local businesses, and SBDC for student learning and the development of an entrepreneurial ecosystem as the Principal Investigator.Sandhir Sharma earned a PhD in strategic management and has nearly 22 years of experience in higher education and five years in the telecom industry. With more than 94 research papers to his credit, Dr. Sharma has developed his core expertise in the area of strategy formulation. His research has been widely published in various newspapers. Currently, he is serving as Pro Vice Chancellor of the Chitkara Business School and as Visiting Faculty at Binus University, Indonesia, and the University of Applied Sciences, Osnabruck, Germany. Dr. Sharma has traveled around the globe to participate in academic events and is an active member of various management associations and university bodies.

1. Generative AI in Healthcare: Scope, Possibilities, and Adoption Roadmap. 2. Dynamics of AI Challenges in Hospital Operations: From Bytes to Better Health. 3. The Application of Artificial Intelligence and Robotics in Healthcare Services. 4. Advancing Healthcare with Responsible AI: Techniques, Barriers, and Best Practices. 5. The Future of AI in Healthcare: Overcoming Current Challenges to Unlock Potential Benefits. 6. Challenges in Adopting AI for Predicting Ophthalmology and Managing Water in the Healthcare Sector. 7. Diagnosis to Treatment: Challenges and Opportunities in Generative Artificial Intelligence Adoption in the Healthcare. 8. Advancing Healthcare through Artificial Intelligence: Pioneering Solutions and Impactful Applications. 9. The XAI Factor in the Age of AI: Does It Enhance AI Augmented Decision-Making Quality in HealthCare HR. 10. AI Adoption Challenges in Healthcare. 11. Training Next-Generation Healthcare Professionals in the Era of AI. 12. Artificial Intelligence (AI) Adoption and Governance: Frameworks and Best Practices. 13. AI in Healthcare: Unveiling Economic Potential and Strategic Insights. 14. Machine Learning-Based Maternal and Child Mortality Rate Prediction Using Random Forest Algorithm.