Neu
Smart Healthcare 2.0 Integrating Digital Twins with AI-Driven Predictive Analytics
-
- Taschenbuch
- eBook ausgewählt
-
Form:Einzelkauf Download
-
Sprache:Englisch
166,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
01.07.2026
Herausgeber
Ramesh Chandra Poonia + weitereVerlag
Elsevier Science & Techn.Seitenzahl
250 (Printausgabe)
Dateigröße
16183 KB
Sprache
Englisch
EAN
9780443452833
Smart Healthcare 2.0: Integrating Digital Twins with AI-Driven Predictive Analytics offers a groundbreaking exploration of how digital twin technology, combined with real-time sensing and predictive analytics, is transforming healthcare delivery. As the global healthcare landscape shifts toward proactive, personalized care, this book addresses the urgent need for comprehensive resources that unify artificial intelligence, Internet of Things (IoT), and biomedical engineering within the digital twin framework. It provides an essential guide for researchers, engineers, and clinicians aiming to harness virtual patient models and data-driven insights to improve health outcomes and system efficiency in the era of ubiquitous healthcare.This volume covers a wide spectrum of topics, starting with foundational concepts of digital twins in precision health and advancing through smart sensing technologies, scalable system architectures, and AI-powered predictive analytics. Readers will explore detailed discussions on edge-cloud computing, secure communication protocols including blockchain, and simulation platforms that enable virtual patient modeling. The book also addresses critical themes such as chronic disease management, emergency response optimization, ethical AI deployment, interoperability standards, and workforce readiness. Real-world case studies and future-focused chapters on cognitive twins and quantum simulation provide a rich, multidisciplinary perspective.
- Bridges AI, IoT, and biomedical engineering for comprehensive digital twin healthcare system design and deployment
- Offers practical frameworks for secure, scalable, and real-time patient monitoring and predictive health interventions
- Integrates ethical, legal, and interoperability considerations to ensure trustworthy and clinically relevant healthcare solutions
- Provides case studies and simulation tools to support research, education, and innovation in smart healthcare technologies
- Bridges AI, IoT, and biomedical engineering for comprehensive digital twin healthcare system design and deployment
- Offers practical frameworks for secure, scalable, and real-time patient monitoring and predictive health interventions
- Integrates ethical, legal, and interoperability considerations to ensure trustworthy and clinically relevant healthcare solutions
- Provides case studies and simulation tools to support research, education, and innovation in smart healthcare technologies
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice