Overview

This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem, and to better serve patients and stakeholders. It looks at the methodologies, technologies, models, frameworks, and practices necessary to resolve the challenging issues associated with leveraging the emerging technologies driving the medical field. The chapters discuss machine vision, AI-driven computer vision, machine learning, deep learning, AI-integrated IoT technology, data science, blockchain, AR/VR technology, cloud data, and cybersecurity techniques in designing and implementing a smart healthcare infrastructure in the era of the Industrial Revolution 4.0. Techniques are applied to the detection, diagnosis, and monitoring of a wide range of health issues. Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem targets a mixed audience of students, engineers, researchers, academics, and professionals who are researching and working in the field of medical and healthcare industries from different environments and countries.

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9781032547923

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Alex Khang is a professor of Information Technology, 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. Vugar Abdullayev, Doctor of Technical Sciences, is an associate professor in the Computer Engineering Department at the Azerbaijan State Oil and Industry University, Baku, Azerbaijan. Olena Hrybiuk, Doctor of Pedagogical Sciences, is an associate professor and researcher at the Faculty of Engineering, International Science and Technology University, National Academy of Sciences, Ukraine. Arvind K. Shukla is a professor and head of department at the Department of Computer Applications, IFTM University, Moradabad, India.

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