Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation
Principles, Technologies, and Applications
- 1st Edition - September 30, 2025
- Editor: Alex Khang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 6 4 3 4 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 6 4 3 5 - 8
Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation: Principles, Technologies, and Applications is a transformative exploration of how Artifi… Read more
Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation: Principles, Technologies, and Applications is a transformative exploration of how Artificial Intelligence (AI) and automation technologies are reshaping the healthcare landscape. In an era where precision, efficiency, and accessibility in medical services are paramount, this book delves into cutting-edge advancements in AI-powered diagnostics, wearable smart devices, and automated patient care systems. It stands as a beacon for innovators and healthcare professionals who aim to harness technology to streamline processes, improve patient outcomes, and create sustainable solutions in an ever-evolving industry.
Beyond its focus on AI and automation, the book also examines the ethical implications and challenges of integrating technology into healthcare. It discusses strategies for implementing these technologies while ensuring patient privacy, maintaining human connection in care delivery, and navigating regulatory hurdles. With detailed case studies and forward-looking insights, the text provides a comprehensive roadmap for leveraging digital tools to shape the future of healthcare.
Beyond its focus on AI and automation, the book also examines the ethical implications and challenges of integrating technology into healthcare. It discusses strategies for implementing these technologies while ensuring patient privacy, maintaining human connection in care delivery, and navigating regulatory hurdles. With detailed case studies and forward-looking insights, the text provides a comprehensive roadmap for leveraging digital tools to shape the future of healthcare.
- Covers the cutting-edge medical technologies being used and developed for the smart digital healthcare ecosystem
- Provides scenarios for learning to remotely monitor, manage, and control devices
- Presents insights on how to glean actionable information from massive streams of real-time data in the smart digital healthcare ecosystem
- Discusses both the medical technologies involved in a smart digital Healthcare sector and the security issues that need to be integral in the digital healthcare ecosystem
Medical industry specialists and academic researchers, scientists and engineers in the fields of Medical, Healthcare, Metaverse-based Healthcare, ICT, IT, Computer Science, Soft Computing, Communication Network, AR/VR, Cloud, Cybersecurity, AI/ML/DL, Big Data, Data Science, IoT, Quantum Computing
- Principles and models of digital healthcare ecosystem
- The role of artificial intelligence and generative artificial intelligence in digital healthcare
- An extensive analysis of artificial intelligence and internet of things for modern healthcare realm
- Applications of artificial intelligence and gen artificial intelligence in digital healthcare ecosystem
- Advancements and applications in the smart healthcare ecosystem
- Enhancing healthcare services with artificial intelligence and generative artificial intelligence technologies
- Integrating artificial intelligence and internet of things for smart healthcare systems
- Internet of things-based technologies for smart healthcare system
- Automation and robotics in medical laboratory services
- Sensor technologies and applications for smart healthcare system
- 6G communication network for smart healthcare system
- Augmented reality and virtual reality technologies for smart healthcare system
- Challenges in implementing quantum technology in healthcare systems
- AI-based blockchain for smart healthcare system
- New neural network methods for the detection of heart diseases
- Artificial internet of things (AIoT)-assisted disease diagnosis model for intelligent healthcare system
- Machine learning for cardiac rehabilitation through the internet of medical things in smart healthcare system
- Identify and classify brain tumors using deep learning techniques and magnetic resonance imaging
- Data mining for fractal measurements features related to breast tumor analysis
- Artificial intelligence and machine learning in modern healthcare ecosystem
- Recent advances in the development and application of biosensors for the detection of endocrine disruptor
- Optimizing ML algorithms for real-time privacy-preserving patient monitoring in embedded systems
- Digital edge detection algorithms for accurate pneumonia detection in chest radiographs
- Employing AI-powered clinical decision support to revolutionize healthcare
- Ergonomic designs in smart pills and biosensors for optimizing user experience
- Medical laboratory monitoring and total quality management for a smart medical laboratory
- Robotics automation for smart healthcare system and medical laboratory service
- Big data analytics for smart healthcare system
- Cybersecurity and privacy data associated with services of smart healthcare
- Transforming healthcare from telemedicine to AI: Principles, models, future prospects, challenges, and barriers in the digital ecosystem
- Artificial intelligence techniques for biosensor data analysis
- Integration of AI and AR in medical imaging: A quantitative analysis of workflow optimization and diagnostic performance
- Machine learning for biosensor signal processing
- Revolutionizing medical imaging and diagnostics through advanced AI and augmented reality technologies
- Future prospects, challenges and ethics of cutting-edge technologies in smart healthcare system
- Edition: 1
- Published: September 30, 2025
- Language: English
AK
Alex Khang
Alex Khang is an AI and Data scientist, and Chief of technology officer at the AI and Data Science Research Centre, Global Research Institute of Technology and Engineering, North Carolina, United States. Professor in Information Technology at University of Science and Technology in Vietnam, India, and United States; IT Workforce Development Consultant, Software industry expert, Software product manager and CTO for High-tech Corporations in Vietnam, EU and the United States.
Affiliations and expertise
Global Research Institute of Technology and Engineering, Vietnam and United States