M2系统

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最新!达芬奇老将加入单孔机器人公司
思宇MedTech· 2025-06-23 08:23
Core Viewpoint - The appointment of Jim Alecxih as CEO of Virtual Incision marks a significant leadership change aimed at advancing the commercialization of the MIRA surgical robot platform and the development of next-generation products [1][4]. Group 1: Leadership Change - Jim Alecxih has over 30 years of experience in the medical device industry and is recognized for his leadership in surgical robotics [4]. - Alecxih previously held a key role at Intuitive Surgical, where he contributed to the widespread adoption of the da Vinci surgical robot in U.S. hospitals [4]. - His leadership is expected to drive innovation and market adoption of Virtual Incision's technology, which is seen as forward-looking and adaptable to various surgical scenarios [4]. Group 2: MIRA Surgical Robot - The MIRA platform is a miniaturized robotic system designed for laparoscopic surgery, featuring a portable design that does not require dedicated space or infrastructure [7]. - MIRA consists of a micro arm, a supporting cart, and a surgeon's console, with the micro arm weighing approximately 2 pounds (900 grams) and capable of performing minimally invasive surgeries [7]. - The system includes a high-definition camera with automatic tracking capabilities, optimized for multi-quadrant surgeries [7]. Group 3: Clinical Applications - MIRA is primarily used for laparoscopic surgeries, allowing surgeons to access the abdominal cavity through small incisions [14]. - The platform's application range is expanding to include hernia repair, gallbladder removal, and other abdominal surgeries, having received FDA's Investigational Device Exemption (IDE) for clinical research [15]. Group 4: Company Background - Virtual Incision was founded in 2006 as a spin-off from the University of Nebraska-Lincoln and is known for developing the world's first small robotic-assisted surgery (RAS) platform [16]. - The company aims to accelerate the development of the next-generation M2 system, which is designed to reduce the cost and complexity of existing large surgical robots [16].