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Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry

Alex Khang (Herausgeber)

Media-Kombination
458 Seiten
2024
Medical Information Science Reference
979-8-3693-2108-9 (ISBN)
499,95 inkl. MwSt
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While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide. It consolidates contributions from a broad spectrum of experts to share ideas, methodologies, technologies, and approaches that can collectively address the challenges associated with the convergence of machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, human-like robotics, healthcare data analytics, and the application of biotechnology in the era of an AI-centric 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 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, 100 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 4.3.2024
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-13 979-8-3693-2108-9 / 9798369321089
Zustand Neuware
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