AI and Cybersecurity in Healthcare provides a critical exploration of AI and cybersecurity in healthcare cyber-physical systems (CPS) and provides insights into the complex technological landscape shaping modern patient care and data protection.
Healthcare has been transformed by advances in technology, particularly through the implementation of CPS that merge the digital and physical worlds and increase system efficiency and effectiveness. This increased reliance on technology raises significant security concerns. This book examines the integration of AI and cybersecurity in healthcare CPS and describes the technological advances, applications, and challenges they present.
Applications of AI in healthcare CPS include remote patient monitoring, AI chatbots for patient assistance, and biometric authentication for data security. AI not only improves patient care and clinical decision-making by analyzing vast amounts of data and optimizing treatment plans, but also enhances the security of CPS by identifying and responding to cyber threats. However, AI systems are vulnerable to attacks, underscoring the need for robust cybersecurity.
Key issues include the privacy and security of sensitive healthcare data, potential identity theft, and medical fraud resulting from data breaches, along with ethical concerns such as algorithmic bias. With the healthcare industry becoming increasingly digital and data-driven, integrating AI and cybersecurity practices into healthcare is essential. This requires collaboration between healthcare providers, technology vendors, regulators, and cybersecurity professionals to develop best practices and standards.
This book aims to provide a comprehensive understanding of AI, cybersecurity, and healthcare services. The book explores technologies such as augmented reality, blockchain, and the Internet of Things, and explores related challenges such as cybersecurity threats and ethical dilemmas.
