AI and IoT-Based Technologies for Precision Medicine

Recent years, the high-tech medical is an science that is applied in combination with emerging technologies and smart approaches for satisfying the higher and higher needs of society and ensuring sustainable medical development in the post covid-19. In order to improve efficiency and create a breakthrough in productivity and quality of medical services for the resident in each country, medical industry needs to researching, transfering, applying, implementing the smart healthcare solutions and precision mdecine systems to their nation.

Nowadays, advanced AI-equipped IoT technologies brings the promise of core benefits for developing smart medical in local market and particular in precision mdedicine services post covid-19 pandemic period. With this book, you’ll be able to implement the AI solutions and IoT-based technologies using models and methodologies along with covering advanced human-like robotics to support health care services, controlling the surgical activities, disease prediction, forecast risks, make informed decisions that facilitate improving in the various predictions and treatment plans in the High-tech medical ecosystem.

The book mainly focused on the opportunities and challenges for AI-powered applicayions and IoT-equipped techniques for smart healthcare Ecosystem as well as the fundamental concepts of including advanced methodologies, models, techniques, technologies, real-time supporting systems in the precision medicine ecosystem. This book would be a great collection of AI and IoT-Based solutions for overall concepts, models, designs, innovations, developments, and implementation of the high-tech healthcare development and precision medicine ecosystem.

AI and IoT-Based Technologies for Precision Medicine 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), "Agriculture Information Science Reference," "Business Science Reference," and "Engineering 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, engineering, 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.

All inquiries about submissions should be emailed to: Prof. Dr. Alex Khang PH

• Professor of IT, AI & Data Scientist
• Software Development Industry Expert
• IT Workforce Development Consultant
• GRITEx SCEDEX, AIoCF, United States
• ORCID: 0000-0001-8379-4659
• 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.

You are invited to contribute chapters and papers and the scope of the book includes but is not limited to the following topics:

• Image enhancement, sharpening, restoration, encoding, and compression
• Application of machine learning for image processing
• Pattern recognition and Distinguish or detect objects in the image
• Image Acquisition and Reconstruction
• 3D reconstruction of image data
• Image Visualization and Management
• Advances in Medical Image Computation
• Medical Image Registration, Processing and Analysis
• Real-time Ultrasound, MRI and CT Imaging and Investigation
• Improved Non-Radioisotope Imaging Analysis
• Impact of Digital Image Communication in Medicine (DICOM)
• Virtual and Augmented Reality in Medical Applications
• X-Ray Phase Contrast Technology and Tomography
• Fast Wavelet based Normalized MRI Reconstruction
• Accuracy in Teeth Structures Segmentation on MRI and CT Images
• Techniques and Applications of Magnetic Resonance Imaging (MRI)
• Registration and Fusion of 3D Multimodal Medical Image
• Automatic 3D Lungs Segmentation in Chest Scan
• 3D Superpixels Computation on Volumetric Intensity Image
• Deep Conventional Networks for Single Image Super-Resolution
• Partitioning 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
• Implementation of DL Algorithms over Multimodal Images for Semantic Segmentation
• Security Challenges in Storing and Exchanging Medical Information

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