Design of ROSES Application to Endocranial Procedures with AI Help

  • Guido Danieli Department of Mechanical, Energy, and Management Engineering (DIMEG), Calabria University, Rende, Italy
  • Salvatore De Rosa Division of Cardiology, Department of Medical and Surgical Sciences, Magna Graecia University, Germaneto, Italy
  • Olindo Di Benedetto AOU Dulbecco, Catanzaro, Italy
  • Pasquale Francesco Greco Calabrian High Tech (CHT) S.r.L, Rende, Italy
  • Ciro Indolfi Universita Della Calabria, Rende, Italy
  • Gabriele Larocca Calabrian High Tech (CHT) S.r.L, Rende, Italy
  • Stefano Loizzo Calabrian High Tech (CHT) S.r.L, Rende, Italy
  • Massimo Massetti Universita del Sacro Cuore-Istituto Gemelli, Largo Agostino Gemelli, Rome, Italy
  • Emanuele Tinelli Division of Cardiology, Department of Medical and Surgical Sciences, Magna Graecia University, Germaneto, Italy
  • Giovanni Tinelli Gemelli Policlinic, Sacred Heart University, Rome, Italy
  • Umberto Sabatini Division of Cardiology, Department of Medical and Surgical Sciences, Magna Graecia University, Germaneto, Italy
  • Yamume Tshomba Universita del Sacro Cuore-Istituto Gemelli, Largo Agostino Gemelli, Rome, Italy
Keywords: Robotic assisted endocranial surgery, Endovascular brain aneurisms treatment, Elimination of ionized radiations for neuro-radiologists

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.

Published
2024-12-30