Leveraging mHealth and Artificial Intelligence for Enhanced Health Indicators, A TwiMV Framework Proposal
Journal
IoT Technologies and Wearables for HealthCare 5th EAI International Conference, HealthWear 2024, Virtual Event, December 2–3, 2024, Proceedings
ISSN
1867-8211
1867-822X
Publisher
Springer Nature Switzerland
Date Issued
2025
Author(s)
Domínguez-Miranda, Sergio Arturo
Type
text::book::book part
Abstract
Technological advances and artificial intelligence (AI) are transforming healthcare by improving prevention, diagnosis, and remote health monitoring. This paper explores the current landscape of the potential application of digital technologies to the healthcare sector. The design of the TwiMV system is proposed to integrate diverse health data for patient diagnosis and monitoring, in a comprehensive framework, encompassing biochemical studies, genetic analysis, medical images, biometric data, dietary and lifestyle information, and wearable data. The proposal involves real-time processing through cloud-based platforms, as well as the integration of artificial intelligence algorithms and digital technologies. The proposed system aims to improve health management through personalized interventions, with specialized modules addressing priority conditions such as stroke, cardiovascular disease, oncology, diabetes, and neurological disorders. ©The authors ©Springer Nature.
License
Acceso Restringido
How to cite
Arturo, DM.S., Roman, RA. (2025). Leveraging mHealth and Artificial Intelligence for Enhanced Health Indicators, A TwiMV Framework Proposal. In: Kose, U., Alzubi, J. (eds) IoT Technologies and Wearables for HealthCare. ICWH 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-031-95571-6_6