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Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications
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.
Book Details
- Publisher: IGI Global
- Publish Date: Feb 26th, 2024
- Pages: 360
- Language: English
- Edition: undefined - undefined
- Dimensions: 11.00in - 8.50in - 0.81in - 2.37lb
- EAN: 9798369336793
- Categories: • Diagnosis• Artificial Intelligence - General• Allied Health Services - Medical Technology
About the Author
Khang, Alex: - 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, Fort Raleigh, 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).