Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/handle/10553/139736
Título: Advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation
Autores/as: Kulbacki, Marek
Segen, Jakub
Kulbacki, Michał
Chaczko, Zenon
Bożejko, Wojciech
Suárez Araujo, Carmen Paz 
Klempous, Ryszard
Bonikowski, Marcin
Clasificación UNESCO: 33 Ciencias tecnológicas
Palabras clave: Advanced Imaging
Ai
Cerebral Palsy
Data Integration
Diagnosis, et al.
Fecha de publicación: 2025
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 19th International Conference on Computer Aided Systems Theory, EUROCAST 2024 
Resumen: Cerebral Palsy (CP) requires individualized interventions due to its complex nature affecting movement and coordination. Medical Human Digital Twin (MHDT) technology offers significant advancements in CP management by creating virtual representations of patients’ physical and neurological states. This paper reviews MHDT applications in CP diagnosis, therapy, and rehabilitation. Advanced imaging techniques and sensor integration enhance early and accurate diagnosis through detailed patient modeling. Therapeutic applications focus on personalized treatment plans using AI-driven models, VR/AR, and robotic-assisted devices, ensuring continuous optimization through real-time monitoring. Rehabilitation strategies benefit from immersive technologies and adaptive feedback, improving patient engagement and outcomes. The integration of human empathy with data-driven insights enables more precise and effective care. Ethical considerations, data management challenges, and future research directions, including interdisciplinary collaboration, are discussed. MHDTs present a transformative approach to CP care, promising improved patient outcomes and personalized healthcare solutions.
URI: https://accedacris.ulpgc.es/handle/10553/139736
ISBN: 9783031829598
ISSN: 0302-9743
DOI: 10.1007/978-3-031-82957-4_12
Fuente: Lecture Notes in Computer Science[ISSN 0302-9743],v. 15173 LNCS, p. 125-139, (Enero 2025)
Colección:Actas de congresos
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