Digital Twins in Medicine, AI-Driven Personalized Healthcare, and Predictive Analytics
Kitapta bölümler > Diğer · 2025
Yazarlar: Secil Sen, Kubilay Doğan KILIÇ
Advances in Computational Intelligence and Robotics, Diğer, IGI Global, B, Uluslararası, 2025, ss 359-396, Türkiye, İzmir
DOI: 10.4018/979-8-3373-0538-7.ch011
Özet
This chapter explores the transformative role of digital twin technology in modern medicine, focusing on its integration with artificial intelligence (AI), big data, and predictive analytics to enhance personalized healthcare. Digital twins, virtual representations of patients based on biomedical data, enable advanced disease modeling, risk assessment, and individualized treatment simulations. By leveraging diverse data sources, including pathology, radiology, and biomarker analysis, AI-driven models provide clinicians with precise decision-support tools for early diagnosis, treatment optimization, and proactive patient management. The chapter examines recent examples and highlighting how digital twins enhance predictive healthcare and clinical outcomes. Ethical considerations, data privacy, and regulatory challenges are also discussed, ensuring responsible implementation of this emerging technology in patient care.