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Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications

Alex Khang (Herausgeber)

Media-Kombination
314 Seiten
2024
Medical Information Science Reference
979-8-3693-3682-3 (ISBN)
CHF 819,95 inkl. MwSt
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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.

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 16 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).

Erscheint lt. Verlag 26.2.2024
Reihe/Serie Advances in Medical Diagnosis, Treatment, and Care
Verlagsort Hershey
Sprache englisch
Maße 216 x 279 mm
Themenwelt Studium 2. Studienabschnitt (Klinik) Anamnese / Körperliche Untersuchung
ISBN-13 979-8-3693-3682-3 / 9798369336823
Zustand Neuware
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