Overview

Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future. AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications serves as a comprehensive guide for academic scholars seeking to understand, implement, and contribute to the transformative impact of AI-driven solutions in the digital healthcare sector. The book's core objective is to unravel the complexities surrounding AI-based innovations, presenting a roadmap for addressing challenges, reaping benefits, and effectively applying these technologies. By exploring diverse topics, from AI models and green computing to quantum computing and emerging deep learning frameworks, the book equips scholars with the knowledge and insights needed to revolutionize healthcare practices. For academic scholars at the forefront of healthcare research, AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications is a vital resource that empowers them to spearhead change in the industry. As we navigate the intricate web of AI-driven solutions together, the book invites scholars to join the forefront of healthcare transformation, ensuring that the future of patient care is innovative but deeply informed by the latest advancements in artificial intelligence. This book is not just about understanding the challenges; it is a call to action, an invitation to shape the future of healthcare through knowledge and implementation.

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Alex Khang, is a Professor in Information Technology, D.Sc. D.Litt., AI and data scientist, Software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. ORCID: 0000-0001-8379-4659 He has more than 28 years of teaching and research experience in information technology at the universities and institutes of information technology in Vietnam, India, and United States. He has published 74 documents indexed by Scopus, 52 authored books, 3 authored books (software development), and authored/co-authored 10 papers, 50 book chapters. He has published 15 edited books, and calling for book chapters for 15 edited books in the fields of AI ecosystem. He has over 30 years of working experience as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, former CTO, former Engineering Director, Product Manager, Senior Software Production Consultant, Data Product Manager). He has been the chair session for 25 conferences, keynote speaker for more than 25 international conclaves; an expert tech speaker for 100 over seminars and webinars; an international technical board member for 10 international organizations; an editorial board member for more than 5 ISSNs; an international reviewer and evaluator for more than 100 journal papers; an international examiner and evaluator for more than 15 Ph.D. thesis in computer science field. He has been contributing to various research activities in fields of AI and data science while publishing many international articles in renowned journals and conference proceedings.

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