Medical Robotics and Intelligent Healthcare Technologies: AI Applications to Improve Healthcare in Developing Countries is an essential reference for professionals and researchers in fields such as biomedical engineering, health informatics, bioelectronics, medical electronics, physiology, and robotics. This book presents the latest advancements in AI and machine learning-based robotics applications, enabling readers to quickly grasp effective methods and compare various approaches. Addressing critical research areas that directly impact human life and health fills a significant market gap, providing valuable insights into AI, deep learning, machine learning, and big data analytics methods as they relate to emerging robotics research models in the biomedical and healthcare domains.
It offers a comprehensive understanding of the concepts, themes, and tools in medical robotics, IoT-based applications, edge computing, and artificial intelligence. With a specific focus on developing countries, this book catalyzes healthcare progress by showcasing the potential of medical robotics and intelligent healthcare technologies. It aims to empower researchers and practitioners to harness these state-of-the-art technologies to improve healthcare systems worldwide.
- Provides comprehensive coverage of the concepts, themes, and tools in the field of medical robotics, IoT-based applications, edge computing, and artificial intelligence
- Emphasizes the automation of robotic tasks to achieve a low-cost and secure operational environment
- Focuses on the application of robotics in medical diagnosis and various medical fields, including rehabilitation, surgery, different diagnostic stages, and medical and surgical training
Jacky Baltes is a Full Professor in the computer science department at the University of Manitoba in Winnipeg, Canada. Dr. Baltes was born and grew up in Munich, Germany. He is a three-time national champion in speed skating and participated at the 1984 and 1988 Olympic games. Dr. Baltes received his Ph.D. in 1996 from the University of Calgary, Canada in artificial intelligence and machine learning. For his Ph.D., Dr. Baltes developed a learning multi-strategy planning system called DoLittle. From 1996 to 2002, Dr. Baltes worked as a senior lecturer in the computer science department at the University of Auckland, New Zealand. In 2002, Dr. Baltes moved to the University of Manitoba in Winnipeg, Canada.
Soroush Sadeghnejad is an Assistant Professor of Biomedical Engineering Department at Amirkabir University of Technology from 2020. He received his Ph.D. in 2017, from the Sharif University of Technology in the area of medical robotics engineering. In his Ph.D., he worked on the development of virtual-based sinus endoscopic surgical training systems. Beforehand, he received his MSc and BSc in Mechanical Engineering Department of the Amirkabir University of Technology with the top ranks. He is also currently the student scientific association office manager of Amirkabir University of Technology (Tehran Polytechnic). From 2019, he appointed as the Federation of International Robosports Association Vice-President. In 2014, he has been appointed as the Executive Committee (EC) member of the International RoboCup Federation by the board of Trustees and now he is the Iran FIRA chapter head.
Sujata Dash is a Senior Member, IEEE who received the Ph.D. degree in computational modeling from Berhampur University, Orissa, India, in 1995. She is currently an Associate Professor with the P.G. Department of Computer Science and Application, North Orissa University, Baripada, India. She has published more than 150 technical articles in international journals, conferences, and book chapters of reputed publications. She has guided many scholars for their Ph.D. degrees in computer science. She is associated with many professional bodies like IEEE, CSI, ISTE, OITS, OMS, IACSIT, IMS, and IAENG. She is a member of the editorial board of several international journals and also reviewer of many international journals. Her current research interests include machine learning, distributed data mining, bioinformatics, intelligent agent, Web data mining, recommender systems, and image processing.
Dr. Subhendu Kumar Pani received his Ph.D. from Utkal University, Odisha, India in the year 2013. He is working as a professor at Krupajal Engineering College under BPUT, Odisha, India. He has more than 20 years of teaching and research experience His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He is the recipient of 5 researcher awards. In addition to research, he has guided two PhD students and 31 M. Tech students. He has published 150 International Journal papers (100 Scopus index). His professional activities include roles as Book Series Editor (CRC Press, Apple Academic Press, Wiley-Scrivener), Associate Editor, Editorial board member and/or reviewer of various International Journals. He is an Associate with no. of the conference societies. He has more than 250 international publications, 5 authored books, 25 edited and upcoming books; 40 book chapters into his account. He is a fellow in SSARSC and a life member in IE, ISTE, ISCA, and OBA.OMS, SMIACSIT, SMUACEE, CSI.
