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Related Experiment Video

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
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

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[Perspectives on Device Selection in Japan:Artificial Intelligence Utilization, Distribution Systems, and Future

Keiichiro Ohara1, Soichiro Fujimura, Toshihiro Ishibashi

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

No Shinkei Geka. Neurological Surgery
|February 17, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) optimizes neuroendovascular device selection and logistics. This AI system reduces delivered items by 20-55%, enhancing efficiency and sustainability in healthcare supply chains.

Related Experiment Videos

Last 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
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

686

Area of Science:

  • Neuroendovascular Therapy
  • Artificial Intelligence in Medicine
  • Healthcare Logistics

Background:

  • Traditional neuroendovascular device selection relies on experience, causing variability.
  • Advances in AI and machine learning offer data-driven solutions for complex medical decisions.

Purpose of the Study:

  • To develop and validate an AI system for optimizing neuroendovascular device selection.
  • To integrate AI-driven selection with electronic ordering for improved logistics.
  • To address challenges like workforce shortages and transportation constraints in medical supply chains.

Main Methods:

  • Developed an integrated system combining AI-driven device selection with an electronic ordering platform.
  • Enabled real-time information sharing among physicians, distributors, and logistics providers.
  • Validated the system using preliminary data from unruptured aneurysm cases.

Main Results:

  • AI-assisted device selection reduced delivered items by 20-55% in preliminary validation.
  • The system demonstrated potential for optimizing medical device logistics.
  • No compromise in patient safety was observed during validation.

Conclusions:

  • AI-assisted device selection enhances clinical decision-making and procedural standardization.
  • The integrated system offers a pathway to more sustainable and efficient medical supply chains.
  • AI in neuroendovascular therapy links healthcare, industry, and logistics through data-driven optimization.