Artificial intelligence and cybersecurity in healthcare

• Titel: Artificial intelligence and cybersecurity in healthcare
• Mitwirkende: Agrawal, Rashmi [HerausgeberIn]
• Verf.angabe: edited by Rashmi Agrawal... [and 3 others]
• Verlagsort: Hoboken, NJ ; Beverly, MA : Scrivener Publishing LLC
• Verlag: John Wiley & Sons, Inc.
• Jahr: 2025
• Umfang: 1 online resource
• Illustrationen: color illustrations
• Fussnoten: Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on March 03, 2025)
• ISBN: 978-1-394-22982-6
• ISBN: 1-394-22982-8
• ISBN: 978-1-394-22980-2
• ISBN: 1-394-22980-1
• ISBN: 978-1-394-22979-6
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• K10plus-PPN: 1921170212
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4696543404
• Lokale URL Inst.: Zum Volltext

Abstract

Artificial Intelligence and Cybersecurity in Healthcare provides a crucial exploration of AI and cybersecurity within healthcare Cyber Physical Systems (CPS), offering insights into the complex technological landscape shaping modern patient care and data protection. As technology advances, healthcare has transformed, particularly through the implementation of CPS that integrate the digital and physical worlds, enhancing system efficiency and effectiveness. This increased reliance on technology raises significant security concerns. The book addresses the integration of AI and cybersecurity in healthcare CPS, detailing technological advancements, applications, and the challenges they present. AI applications 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 extensive data and optimizing treatment plans, but also enhances CPS security by detecting and responding to cyber threats. Nonetheless, AI systems are susceptible to attacks, emphasizing the need for robust cybersecurity. Significant issues include the privacy and security of sensitive healthcare data, potential identity theft, and medical fraud from data breaches, alongside ethical concerns such as algorithmic bias. As the healthcare industry becomes increasingly digital and data-driven, integrating AI and cybersecurity measures into CPS is essential. This requires collaboration among healthcare providers, tech vendors, regulatory bodies, and cybersecurity experts to develop best practices and standards. This book aims to provide a comprehensive understanding of AI, cybersecurity, and healthcare CPS. It explores technologies like augmented reality, blockchain, and the Internet of Things, addressing associated challenges like cybersecurity threats and ethical dilemmas.