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Representación de grafos de conocimiento de procesos de odontología aeroespacial para sistemas de soporte de

Muhammad Tuan Amith1,2, Jessica Vu3, Serena Hou4

  • 1Department of Biostatistics and Data Science, University of Texas Medical Branch, 301 University Blvd, Galveston, 77555, TX, USA.

Acta astronautica
|December 19, 2025
PubMed
Resumen

Este estudio modela flujos de trabajo dentales aeroespaciales para misiones de espacio profundo utilizando Business Process Modeling and Notation (BPMN) y grafos de conocimiento OWL2. Estos modelos computables apoyan la toma de decisiones clínicas remotas para la atención dental de astronautas.

Palabras clave:
Odontología aeroespacialEmergencias dentalesInformática de la saludGrafos de conocimientoOntologíaModelado de procesos

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Área de la Ciencia:

  • Medicina Aeroespacial
  • Informática de la Salud
  • Odontología Computacional

Sus antecedentes:

  • Las misiones espaciales a largo plazo requieren soluciones de atención médica sólidas para los astronautas.
  • La tripulación y el equipo limitados en el espacio profundo plantean desafíos para los procedimientos clínicos.
  • Los flujos de trabajo estandarizados son cruciales para garantizar la seguridad del astronauta y la atención de calidad.

Objetivo del estudio:

  • Desarrollar y representar flujos de trabajo dentales aeroespaciales para misiones espaciales.
  • Utilizar Business Process Modeling and Notation (BPMN) y OWL2 para el modelado.
  • Crear grafos de conocimiento computables para procedimientos dentales en el espacio.

Principales métodos:

  • Desarrollo de modelos de procesos BPMN para flujos de trabajo dentales aeroespaciales.
  • Creación de grafos de conocimiento basados en ontologías utilizando OWL2.
  • Empleo de una canalización de procesamiento semiautomática para el desarrollo de modelos.
  • Generación de grafos de conocimiento para afecciones dentales específicas: absceso, extracciones, restauraciones desprendidas y traumatismos.

Principales resultados:

  • Se produjeron cuatro grafos de conocimiento basados en OWL2, que detallan descripciones semánticas de procedimientos dentales clave.
  • Los modelos representan procedimientos dentales individuales para misiones de órbita terrestre baja y espacio profundo.
  • Los grafos de conocimiento son computables, lo que permite su integración en aplicaciones de software.

Conclusiones:

  • Los grafos de conocimiento OWL2 desarrollados proporcionan una base para los sistemas de soporte de decisiones en el espacio.
  • Estos modelos pueden mejorar las herramientas clínicas remotas para la atención dental de astronautas.
  • El trabajo futuro incluye la expansión de los grafos de conocimiento y el desarrollo de aplicaciones para la atención médica espacial.