Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications

Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications

Indexed In: SCOPUS
Release Date: February, 2024|Copyright: © 2024 |Pages: 314
DOI: 10.4018/979-8-3693-3679-3
ISBN13: 9798369336793|EISBN13: 9798369336809
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Advancements
  • AI Algorithms
  • AI-CDSS
  • Artificial Intelligence
  • Big Data
  • Cardiovascular Diseases
  • Chatbots
  • Cloud Computing
  • COVID-19
  • Cutting-Edge Technologies
  • Data Analytics
  • Deep Learning
  • Digital Healthcare
  • Federated Learning
  • Healthcare Industry
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Editor/Author Biographies
Alex Khang is a Professor in Information Technology, D.Sc. D.Litt., AI and Data scientist, AI and Data Science Research Center, Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in computer science and data science at the Universities of Science and Technology in Vietnam, India, and the United States. He has over 28 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. He has published 100+ documents indexed Scopus, 52 authored books, 02 authored books (Software development). He has published 25 edited books, 50 book chapters, and calling for book chapters for 11 edited books in the fields of AI Ecosystem with Taylor and Francis Publisher | IGI Global Publisher | Bentham Science Publisher | Vietnam Publishers. ORCID: 0000-0001-8379-4659.
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