Overview

Academic scholars face the daunting challenge of keeping pace with the rapid evolution of innovative technologies. The emergence of AI-driven solutions, deep learning frameworks, and medical robotics introduces a complex terrain, demanding in-depth understanding and analysis. As scholars navigate the intricacies of patient hate speech detection, cardiovascular diseases AI-CDSS, and the revolution in medical diagnostics, a pressing need arises for comprehensive insights that bridge the gap between theoretical knowledge and practical applications. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape. As scholars grapple with the ongoing advancements in surgical robotics, healthcare smart sensors, and the fusion of IoT and deep learning, this book serves as an indispensable guide. It provides a comprehensive overview of the current challenges but also presents innovative solutions that pave the way for a smarter, sustainable healthcare future. In the realm of data management, big data analytics, and the intersection of cybersecurity and cloud computing, our book offers a holistic perspective, making it an essential companion for scholars seeking to deepen their understanding of the transformative forces shaping the healthcare industry.

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Alex Khang, Professor of Information Technology, D.Sc., D.Litt., AI and Data Scientist, Department of AI and Data Science, Global Research Institute of Technology and Engineering, North Carolina, United States. He has 28+ years of working experience, teaching experience, and research experience in Information Technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Technology and Science in USA, EU, India, and Vietnam. He has published 74 Documents Indexed Scopus, 52 authored books, 02 authored Software development books (English), 45 book chapters in AI and Data science, 15 edited books in AI, IoT and Data science, and 15 edited books (calling for book chapters) in the field of AI Ecosystem (AI, ML, DL, Robotics, Data Science, Big Data, and IoT), Smart City Ecosystem, Healthcare Ecosystem, Fintech technology, and Blockchain technology.

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