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Updated: May 5, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Perspectivas sobre la selección de dispositivos en Japón: utilización de inteligencia artificial, sistemas de

Keiichiro Ohara1, Soichiro Fujimura, Toshihiro Ishibashi

  • 1Department of Neurosurgery, The Jikei University School of Medicine.

No shinkei geka. Neurological surgery
|February 17, 2026
PubMed
Resumen

La inteligencia artificial (IA) optimiza la selección de dispositivos neuroendovasculares y la logística. Este sistema de IA reduce los artículos entregados entre un 20 y un 55 %, mejorando la eficiencia y la sostenibilidad en las cadenas de suministro sanitarias.

Palabras clave:
Inteligencia artificialSelección de dispositivosLogística sanitariaCadena de suministroNeuroendovascular

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Published on: August 29, 2025

686

Área de la Ciencia:

  • Terapia neuroendovascular
  • Inteligencia artificial en medicina
  • Logística sanitaria

Sus antecedentes:

  • La selección tradicional de dispositivos neuroendovasculares se basa en la experiencia, lo que provoca variabilidad.
  • Los avances en IA y aprendizaje automático ofrecen soluciones basadas en datos para decisiones médicas complejas.

Objetivo del estudio:

  • Desarrollar y validar un sistema de IA para optimizar la selección de dispositivos neuroendovasculares.
  • Integrar la selección impulsada por IA con la ordenación electrónica para mejorar la logística.
  • Abordar desafíos como la escasez de mano de obra y las limitaciones de transporte en las cadenas de suministro médicas.

Principales métodos:

  • Se desarrolló un sistema integrado que combina la selección de dispositivos impulsada por IA con una plataforma de pedidos electrónicos.
  • Se permitió el intercambio de información en tiempo real entre médicos, distribuidores y proveedores de logística.
  • Se validó el sistema utilizando datos preliminares de casos de aneurismas no rotos.

Principales resultados:

  • La selección de dispositivos asistida por IA redujo los artículos entregados entre un 20 y un 55 % en la validación preliminar.
  • El sistema demostró potencial para optimizar la logística de dispositivos médicos.
  • No se observó compromiso en la seguridad del paciente durante la validación.

Conclusiones:

  • La selección de dispositivos asistida por IA mejora la toma de decisiones clínicas y la estandarización de procedimientos.
  • El sistema integrado ofrece un camino hacia cadenas de suministro médicas más sostenibles y eficientes.
  • La IA en la terapia neuroendovascular vincula la atención médica, la industria y la logística a través de la optimización basada en datos.