Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry

This book also serves as a comprehensive introduction for researchers, practitioners, and enthusiasts seeking to understand the implications of Medical Robotics and AI-Assisted Diagnostics in the realm of high-tech healthcare and other sciences.

Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry This book is scheduled to be published and indexed by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Robotics Science Reference," "AI Science Reference," and "Diagnostics Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, agriculture, education, social science, medicine and healthcare, business and management, information science and technology, diagnostics, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2024.

No Publication Charge

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome Before You Write

All inquiries about submissions should be emailed to

Prof. Dr. Alex Khang PH

• Professor of IT, AI & Data Scientist
• Cloud and Database Expert
• IT Workforce Development Consultant
• Global Research Institute of Technology and Engineering
• North Carolina, United States
• ORCID: 0000-0001-8379-4659
• WhatsApp: +84-09-3235-7799
• alex.khang@outlook.com

This book targets a mixed audience of medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students from different communities around the world to share and contribute ideas, methodologies, technologies, approaches, models, frameworks, theories and practices to resolve the challenging issues associated with the leveraging of combating the eight core fields of Machine Learning, Deep Learning, Computer Vision in Medical, AI-integrated Applications, IoT-based Technologies, Human-like Robotics in Smart Healthcare Ecosystem, Healthcare Data Analytics and Visualization, Application of Biotechnology for developing a high-tech and precision medicine ecosystem in the era of AI-centric Industry.

We invite rofessors, doctors, scholars, engineers, scientist, specialists, friends, scholars, experts, colleagues, students, and IT community around the world to contribute to the book "Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry". The scope of the book includes, but is not limited to the following topics:

• AI-Assisted Diagnosis Technology: Concepts, Definitions and Principles
• The Role of Computer Vision in Healthcare industry
• Robotics Technologies in Healthcare and Medical Sectors
• Diagnosis Technology and Application in Healthcare sector
• ML Advancements in E-Health: Transforming Digital Healthcare
• Deep Learning Frameworks in Healthcare industry
• Healthcare Smart Sensors and Applications
• Medical IoT-based Solutions in Healthcare Industry
• Heart Disease Diagnosis and Prediction Using ML and Data Mining Techniques
• Image Processing Application in Healthcare Industry
• MRI Image Processing Application in Healthcare Industry
• CPartitioning 3D surface in Multi-modality Medical Imaging
• Segmentation of MR image Intensity Inhomogeneity
• Classify Huge-scale Multi-resolution Images using Deep Learning
• Deep Learning Model based 3D based Brain Tumor Segmentation
• Advances in Medical Image Computation
• Medical Image Registration, Processing and Analysis
• Real-time Ultrasound, MRI and CT Imaging and Investigation
• Security Challenges in Storing and Exchanging Medical Information
• Cloud-based Data and Big Data in Healthcare Industry
• AI Integrated with IoT System for Continuous Elderly Fall Detection
• Exploring the Applications of RPA in the Medical Operation System
• Cybersecurity Techniques for MIoT in Healthcare Industry