Short description:

CyberMedics: Navigating AI and Security in the Medical Field is a comprehensive exploration of the transformative role of artificial intelligence (AI) in healthcare and the critical importance of securing medical data in an increasingly digital world.

Long description:

CyberMedics: Navigating AI and Security in the Medical Field is a comprehensive exploration of the transformative role of artificial intelligence (AI) in healthcare and the critical importance of securing medical data in an increasingly digital world. As AI technologies revolutionize diagnostics, treatment planning, and patient care, they also introduce new challenges related to data privacy, ethical considerations, and cybersecurity. This book offers a balanced perspective, providing healthcare professionals, technologists, and policymakers with the tools they need to understand and navigate the intersection of AI and security. Through detailed case studies, expert insights, and practical guidance, readers will discover how AI can be leveraged to improve patient outcomes while maintaining the highest standards of data protection.

Key topics include:

• AI in healthcare, exploring how emerging technologies like machine learning, natural language processing, and predictive analytics are poised to reshape the industry


• the ethical implications of AI in healthcare


• strategies for safeguarding sensitive information against cyber threats


• future frameworks governing the use of AI in medical settings

Whether you’re on the front lines of patient care, involved in healthcare IT, or shaping policy, CyberMedics: Navigating AI and Security in the Medical Field equips you with the knowledge to make informed decisions in a rapidly evolving landscape, ensuring that innovation and security go hand in hand to enhance the quality of care.

Table of Contents:

About the Editors. List of Contributors. Chapter 1: Enhancing Energy Efficiency and Safety in Smart Homes: A Framework for Secure IoT-Driven Home Automation with Facial Recognition and Sensor Networks. Chapter 2: Embracing the Future: Tracing the Role of Artificial Intelligence (AI) and Internet of Things (IoT) in Secure Agricultural Automation. Chapter 3: Enhancing Face Recognition Accuracy in Authentication Systems through Hyperparameter Tuning of Deep Learning Model. Chapter 4: Neuromorphic Horizons: Exploring the Intersection of Generative AI and Brain-Inspired Computing in Secured Healthcare. Chapter 5: Improving Pneumonia Diagnosis Correctness with the Synergistic Approach using Swin Transformer and Deep Learning Architectures on Chest X-Ray Images. Chapter 6: The Future of Healthcare Security: AI and Cyber Defenses. Chapter 7: An Efficient Machine Learning Approach to Mitigate DDoS Attack in Ad-hoc Network. Chapter 8: Role of Artificial Intelligence in Healthcare. Chapter 9: Intentions in the Digital Age: Paving the Path to Sustainable Online Insurance. Chapter 10: Enhancing Anatomical Education through Artificial Intelligence: Integrating Security and Ethical Dimensions - A Comprehensive Review. Chapter 11: A Comprehensive Exploration of Sentiment Analysis Methods for Social Media Data using Python. Index.