Full Description
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.
Contents
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
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