Document resource
Introduction Endovascular therapy for intracranial aneurysms requires precise microcatheter shaping, a complex step traditionally reliant on highly experienced neurosurgeons. Manual shaping demands extensive empirical knowledge. Inaccuracies in shaping can compromise microcatheter placement and coil delivery, directly impacting surgical safety and efficacy.Aim of Study This study aimed to develop an AI-driven surgical robot to automate and standardize microcatheter shaping, thereby reducing reliance on operator experience, minimizing radiation exposure, and improving procedural accuracy.Method The system comprises three modules: vascular modeling, microcatheter simulation, and automated shaping. Enhanced DICOM data were segmented to reconstruct 3D vascular and aneurysm models, smoothed to eliminate imaging artifacts. The microcatheter was simulated using a Discrete Elastic Rod model, discretized for collision detection and path optimization. Mandrel shapes were computed based on rebound coefficients for various microcatheters and physically formed via an electromechanical shaping module.Results 395 intracranial aneurysm embolizations (C5: 6.1%, C6: 31.4%, C7: 19.2%, M1: 22.0%, A1: 11.1%, BA: 1.3%, Others: 8.9%) have been performed across 23 institutions using the AI robot. Single-trial placement success reached 91.9%, with no severe adverse events reported. The system reduced manual shaping attempts, radiation exposure, and complication risks while standardizing workflows, potentially flattening the learning curve for less-experienced surgeons. Regulatory approval for clinical use was granted by China’s National Medical Product Authority.Conclusion The AI surgical robot enables intelligent, automated microcatheter shaping, enhancing procedural precision and safety in endovascular aneurysm therapy. By minimizing human dependency and variability, it promises to democratize high-quality care and improve clinical outcomes.Conflict of Interest Yes This AI-machine is designed by the collaboration of Huashan Hospital and UnionStrong Technology (Beijing) Co. Ltd, Beijing, P. R. China