Insider Brief
- AiM Medical Robotics is partnering with Siemens Healthineers to integrate its MRI-guided brain surgery robot with Siemens MRI systems, a move aimed at advancing image-guided neurosurgery and accelerating clinical deployment.
- The collaboration centers on a software interface designed to coordinate AiM’s robotic platform with Siemens MRI scanners, enabling tighter integration between imaging and robotic systems during procedures.
- AiM said the combined system is intended to improve surgical precision and workflow by allowing doctors to perform complex brain procedures with continuous real-time imaging and reduced procedural complexity.
AiM Medical Robotics is partnering with Siemens Healthineers to connect its MRI-guided brain surgery robot with the company’s MRI scanners to improve image-guided neurosurgery and speed up the path toward clinical deployment.
According to AiM, the collaboration centers on a software interface that will allow AiM’s robotic system to work with Siemens Healthineers MRI systems across multiple scanner types. The companies said the integration is designed to create tighter coordination between robotic tools and MRI imaging systems, potentially improving precision and workflow during procedures performed inside the scanner.
Under the agreement, AiM’s system will operate with Siemens Healthineers MRI scanners ranging from high-field 3T systems to lower-field platforms, including the recently launched MAGNETOM Free.XL system, which the companies said could broaden access to MRI-guided procedures.
Rather than requiring doctors to repeatedly stop and reposition patients during surgery, the combined system is designed to allow robotic movements and imaging systems to work together more seamlessly. AiM said the approach could improve precision and reduce procedural complexity.
AiM, based in Worcester, Massachusetts, has developed a compact robotic system designed to function inside MRI machines. The technology is intended to help surgeons carry out delicate brain procedures while continuously viewing detailed images in real time. Initial applications include placing electrodes for neurostimulation therapies, collecting tissue samples, delivering treatments and treating conditions such as epilepsy and brain tumors.
