Design of ROSES Application to Endocranial Procedures with AI Help

This article presents the application of the ROSES system in intracranial procedures, integrating artificial intelligence (AI) to enhance precision and safety. The system uses advanced robotic actuators and disposable tools to manage microcatheters and guidewires, enabling efficient stent placement while minimizing contact with aneurysms. By leveraging angiographic data to create 3D vascular models, the AI determines optimal pathways, calculates stent dimensions, and identifies critical curvatures. This approach allows for automated or manual intervention based on procedural requirements, reducing the need for physician presence during high-risk stages. The innovation significantly lowers radiation exposure and improves procedural outcomes in complex intracranial surgeries, offering a promising step toward more autonomous endovascular systems. Importantly, this system reduces the necessity for a doctor to be physically present with the patient, as the AI and robotic components can manage much of the procedure remotely. This advancement could greatly enhance the efficiency and safety of medical procedures.

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Publication Details

Journal
International Journal of Endovascular Treatment and Innovative Techniques
Published
2024-12-31
DOI
https://doi.org/10.61797/ijetit.v5i2.403
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
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article

Design of ROSES Application to Endocranial Procedures with AI Help

Pasquale Francesco Greco, Yamume Tshomba, Guido Danieli, Emanuele Tinelli et al.
International Journal of Endovascular Treatment and Innovative Techniques
Medical Imaging and Analysis
article

Design of ROSES Application to Endocranial Procedures with AI Help

Pasquale Francesco Greco, Yamume Tshomba, Guido Danieli, Emanuele Tinelli, Umberto Sabatini, Massimo Massetti, Ciro Indolfi, Salvatore De Rosa, Gabriele Larocca, Giovanni Tinelli, Olindo Di Benedetto, Stefano Loizzo
article en

Abstract

This article presents the application of the ROSES system in intracranial procedures, integrating artificial intelligence (AI) to enhance precision and safety. The system uses advanced robotic actuators and disposable tools to manage microcatheters and guidewires, enabling efficient stent placement while minimizing contact with aneurysms. By leveraging angiographic data to create 3D vascular models, the AI determines optimal pathways, calculates stent dimensions, and identifies critical curvatures. This approach allows for automated or manual intervention based on procedural requirements, reducing the need for physician presence during high-risk stages. The innovation significantly lowers radiation exposure and improves procedural outcomes in complex intracranial surgeries, offering a promising step toward more autonomous endovascular systems. Importantly, this system reduces the necessity for a doctor to be physically present with the patient, as the AI and robotic components can manage much of the procedure remotely. This advancement could greatly enhance the efficiency and safety of medical procedures.

International Journal of Endovascular Treatment and Innovative Techniques
Agostino Gemelli University Polyclinic (IT), Magna Graecia University (IT), University of Calabria (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Medical Imaging and Analysis
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Design of ROSES Application to Endocranial Procedures with AI Help — Pasquale Francesco Greco, Yamume Tshomba, et al. · International Journal of Endovascular Treatment and Innovative Techniques (2024) | TGRS Research Map | TGRS