An AI-Enabled Smart City Architecture for Monitoring and Specialised Care of People with Sarcopenic Obesity
DOI:
https://doi.org/10.61467/2007.1558.2026.v17i4.1297Keywords:
smart city architecture, sarcopenic obesity, artificial intelligence in healthcare, arquitectura de ciudad inteligente, obesidad sarcopénica, inteligencia artificial en la atención sanitariaAbstract
Smart cities can contribute to public health through digital monitoring systems, telemedicine services, efficient emergency management, and data-driven decision-making. Sarcopenic obesity, characterised by the coexistence of obesity and loss of muscle mass, represents an emerging public health challenge that requires continuous monitoring and specialised care. This study proposes a conceptual smart city architecture for monitoring and supporting people with sarcopenic obesity. The proposed architecture integrates hardware-based monitoring technologies with artificial intelligence software to facilitate access to healthcare services, support remote care, and enable data-informed decision-making. By combining technological infrastructure and artificial intelligence within a smart city framework, the conceptual model seeks to improve the coordination and accessibility of specialised healthcare and contribute to the quality of life of people living with sarcopenic obesity. The main contribution of this study is an integrated conceptual architecture that connects digital monitoring, telemedicine, artificial intelligence, and specialised care within a smart city environment. Future research should evaluate its technical feasibility, clinical applicability, privacy requirements, usability, and effectiveness in real-world healthcare contexts.
Spanish-language metadata / Metadatos en español
Título en español:
Una arquitectura de ciudad inteligente basada en inteligencia artificial para el monitoreo y la atención especializada de personas con obesidad sarcopénica.
Resumen:
Las ciudades inteligentes pueden contribuir a la salud pública mediante sistemas de monitoreo digital, servicios de telemedicina, una gestión eficiente de emergencias y la toma de decisiones basada en datos. La obesidad sarcopénica, caracterizada por la coexistencia de obesidad y pérdida de masa muscular, representa un desafío emergente de salud pública que requiere monitoreo continuo y atención especializada. Este estudio propone una arquitectura conceptual de ciudad inteligente para monitorear y brindar apoyo a personas con obesidad sarcopénica. La arquitectura propuesta integra tecnologías de monitoreo basadas en hardware con software de inteligencia artificial para facilitar el acceso a los servicios de salud, respaldar la atención remota y permitir la toma de decisiones informada por datos. Al combinar infraestructura tecnológica e inteligencia artificial dentro de un marco de ciudad inteligente, el modelo conceptual busca mejorar la coordinación y la accesibilidad de la atención médica especializada, así como contribuir a la calidad de vida de las personas que viven con obesidad sarcopénica. La principal contribución de este estudio es una arquitectura conceptual integrada que conecta el monitoreo digital, la telemedicina, la inteligencia artificial y la atención especializada dentro de un entorno de ciudad inteligente. Las investigaciones futuras deberán evaluar su viabilidad técnica, aplicabilidad clínica, requisitos de privacidad, usabilidad y eficacia en contextos reales de atención sanitaria.
Palabras Claves:
arquitectura de ciudad inteligente; obesidad sarcopénica; inteligencia artificial en la atención sanitaria.
Smart citations:
https://scite.ai/reports/10.61467/2007.1558.2026.v17i4.1297
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