HOUSTON--(BUSINESS WIRE)--XCath, a medical device company dedicated to expanding endovascular treatment modalities through its telerobotic systems, announced today the incorporation of AI-driven simulation powered by NVIDIA Isaac for Healthcare into XCath’s autonomous robotic system. The new, advanced capabilities uniquely position XCath’s platform to deliver the highest standard of care for stroke and other complex vascular conditions to patients globally.

“One in four adults over the age of 25 will have a stroke during their lifetime, yet fewer than 5% have access to proper medical intervention,” said Eduardo Fonseca, CEO of XCath. “Through our collaboration with NVIDIA, we aim to democratize the gold standard in stroke care – mechanical thrombectomy – and make this life-saving therapy accessible to more patients worldwide.”

NVIDIA recently introduced Isaac for Healthcare, an AI robotics development platform domain-specialized for the healthcare industry. It helps developers who need ways to safely and efficiently design, test and deploy advanced AI-driven robotic and autonomous systems for healthcare settings and applications.
XCath is leveraging Isaac for Healthcare to create comprehensive digital twins of its endovascular robot, treatment devices and human vasculature. By doing so, XCath can accelerate prototyping and testing cycles for future robotic generations, create virtual training environments for surgeons and medical trainees, and build patient-specific procedural plans. Using pre-procedural imaging allows surgeons to virtually rehearse complex procedures, such as aneurysm repair, on a patient's exact anatomy.

“XCath is embracing the next wave of AI in the field of surgical robotics that enables autonomous medical devices to sense, plan and perform complex actions in the real world,” said David Niewolny, director of business development for medtech at NVIDIA. “With the benefit of Isaac for Healthcare, XCath’s cutting-edge robotics platform has transformative operational capabilities that can dramatically impact patient care.”

The virtual twin infrastructure provided by NVIDIA Isaac for Healthcare also serves as a training ground for developing autonomously navigating AI systems. These systems will provide real-time, intraoperative feedback and can pause procedures when detecting unexpected deviations. They function as a robust safety mechanism through a parallel autonomous system and mitigate risks from network fluctuations or potential security threats.

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