AiM Medical Robotics has forged a collaboration with Brigham and Women’s Hospital (BWH) and the Surgical Navigation and Robotics (SNR) Lab at the Harvard University in the US to trial its advanced robot for deep brain stimulation (DBS) in patients with Parkinson’s Disease.
The study will take place in Advanced Multimodality Image-Guided Operating (AMIGO) Suite, a clinical research site at BWH.
The first human clinical trial will assess the robot during MRI-guided device placement in the brain.
The trial aims to use AiM Medical Robotics’ stereotactic neurosurgery robot to deliver DBS leads with real-time MRI guidance for Parkinson’s Disease patients.
The robotic company is developing a compact, MRI-compatible surgical robot to enhance intraoperative surgical planning and guidance through real-time soft tissue imaging.
AiM Medical Robotics’ product for image-guided stereotactic neurosurgery is said to be the result of nearly 15 years and $15m of National Institutes of Health(NIH)-funded academic research.
The firm is planning to introduce its product to address challenges associated with the efficient, accurate, and safe intracranial placement of neuromodulation, ablation, and drug delivery devices.
Earliet this month, AiM Medical Robotics completed a cadaver trial at the PracticePoint facility at Worcester Polytechnic Institute (WPI).
The trial showcased the precise delivery of bilateral DBS leads with high levels of efficiency and accuracy using real-time MRI guidance. It also highlighted the robot’s ability to account for brain shifts.
Additionally, AiM Medical Robotics has announced a partnership with Toronto-based Synaptive Medical, a medical technology firm providing solutions for surgical, imaging, and data challenges.
Under the partnership, Synaptive Medical’s Modus Nav neuro-navigation software platform will be integrated with AiM Medical Robotics’ stereotactic neurosurgery robot for enhanced visualisation, navigation, and control.
The integration is expected to create an optimised workflow and maintain precision and efficiency in neurosurgical procedures.
