05668nam 22006013 450 991101893690332120251214173758.097813942298021394229801978139422982613942298289781394229819139422981X(CKB)37664407000041(MiAaPQ)EBC31918885(Au-PeEL)EBL31918885(OCoLC)1500653627(CaSebORM)9781394229796(OCoLC)1503549873(OCoLC-P)1503549873(FI-CZ)9781394229802(UkBuK)3336936(EXLCZ)993766440700004120250227d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence and Cybersecurity in Healthcare1st ed.Wiley20251 online resource (513 pages)9781394229796 1394229798 Series Page1 Digital Prescriptions for Improved Patient Care are Transforming Healthcare Through Voice-Based Technology2 Securing IoMT-Based Healthcare System: Issues, Challenges, and Solutions3 Fog Computing in Healthcare: Enhancing Security and Privacy in Distributed Systems4 Blockchain Technology for Securing Healthcare Data in Cyber-Physical Systems5 Augmented Reality and Virtual Reality in Healthcare: Advancements and Security Challenges6 Next Generation Healthcare: Leveraging AI for Personalized Diagnosis, Treatment, and Monitoring7 Exploring the Advantages and Security Aspects of Digital Twin Technology in Healthcare8 An Extensive Study of AI and Cybersecurity in Healthcare9 Cloud Computing in Healthcare: Risks and Security Measures10 Explainable Artificial Intelligence in Healthcare: Transparency and Trustworthiness11 Fuzzy Expert System to Diagnose the Heart Disease Risk Level12 Search and Rescue-Based Sparse Auto-Encoder for Detecting Heart Disease in IoT Healthcare Environment13 Growth Optimization-Based SBLRNN Model for Estimate Breast Cancer in IoT Healthcare Environment14 Lightweight Fuzzy Logical MQTT Security System to Secure the Low Configurated Medical Device System by Communicating the IoT15 IoT-Based Secured Biomedical Device to Remote Monitoring to the Patient16 Fuzzy Interface Drug Delivery Decision-Making Algorithm17 Implementation of Clinical Fuzzy-Based Decision Supportive System to Monitor Renal Function18 Deep Learning-Based Medical Image Classification and Web Application Framework to Identify Alzheimer's Disease19 Using Deep Learning to Classify and Diagnose Alzheimer's Disease20 Developing a Soft Computing Fuzzy Interface System for Peptic Ulcer Diagnosis21 Digital Twin Technology in Healthcare: Benefits and Security Considerations22 Combating Cyber Threats Including Wormhole Attacks in Healthcare Cyber-Physical Systems: Advanced Prevention and Mitigation TechniquesAlso of InterestEnd User License AgreementArtificial 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.Artificial intelligenceMedical applicationsComputer securityHealth aspectsArtificial intelligenceMedical applications.Computer securityHealth aspects.610.285/63Agrawal Rashmi1785746Rathore Pramod Singh1833323Deverajan Ganesh Gopal1840248Divivedi Rajiva Ranjan1840249MiAaPQMiAaPQMiAaPQBOOK9911018936903321Artificial Intelligence and Cybersecurity in Healthcare4419772UNINA