Bitan Misra – författare

This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book

• Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing;

• Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare;

• Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning;

• Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies;

• Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning;

• Encompasses the ethical and legal challenges of using smart healthcare and medical data.

This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.

This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book

• Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing;

• Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare;

• Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning;

• Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies;

• Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning;

• Encompasses the ethical and legal challenges of using smart healthcare and medical data.

This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.

Innovation and Knowledge Management in Manufacturing Industry: Case Studies and Applications is a valuable resource to organizations in the modern manufacturing setting where change is fast, competition is intense, and where technological changes take place continuously. The book provides a thorough analysis of the crucial connection between the practices of innovation and knowledge management systems and introduces a detailed framework that is meant to help manufacturers cope with the challenges related to digital transformation and the incorporation of Industry 4.0 technologies. It contains practical case studies, which are the successful experiences of knowledge management and innovation strategies in practice and they contain the valuable insights and best practices that have been learned by the leaders in the industry. Some of the major issues covered include the assessment of Industry 4.0 maturity, the overall organization of the innovation cycle, and the development of the efficient knowledge transfer methods that enable employees to exchange information and contribute to the consistent improvement.

Addressing the needs of manufacturing executives, knowledge management professionals, and industrial engineers, the book can equip the readers with the knowledge, and strategies that will help them improve the levels of innovation in their organization and efficiently manage the knowledge resources. Through innovation, this book will expand readers'' organizational potential and inspire them about the future of manufacturing.

Innovation and Knowledge Management in Manufacturing Industry: Case Studies and Applications is a valuable resource to organizations in the modern manufacturing setting where change is fast, competition is intense, and where technological changes take place continuously. The book provides a thorough analysis of the crucial connection between the practices of innovation and knowledge management systems and introduces a detailed framework that is meant to help manufacturers cope with the challenges related to digital transformation and the incorporation of Industry 4.0 technologies. It contains practical case studies, which are the successful experiences of knowledge management and innovation strategies in practice and they contain the valuable insights and best practices that have been learned by the leaders in the industry. Some of the major issues covered include the assessment of Industry 4.0 maturity, the overall organization of the innovation cycle, and the development of the efficient knowledge transfer methods that enable employees to exchange information and contribute to the consistent improvement.

Addressing the needs of manufacturing executives, knowledge management professionals, and industrial engineers, the book can equip the readers with the knowledge, and strategies that will help them improve the levels of innovation in their organization and efficiently manage the knowledge resources. Through innovation, this book will expand readers'' organizational potential and inspire them about the future of manufacturing.