Daily Newsletter

28 September 2023

Daily Newsletter

28 September 2023

Moon Surgical’s Maestro system used in first US clinical procedures

The FDA-cleared system for traditional laparoscopy assistance has been used in weight loss procedures in the US.

Robert Barrie September 27 2023

Surgeons in the US have used Moon Surgical’s Maestro system to aid weight loss surgery procedures, in what are the first-use cases of the robotic system in the country.

Maestro, which received US Food and Drug Administration (FDA) clearance in December 2022, is designed to assist in traditional laparoscopic procedures.

Three surgeons at Baptist Health in Florida, US, used the robotic system to help perform sleeve gastrectomies – the most common weight loss surgery. The robotic arms can hold and adjust instruments, reducing the number of staff required in the operating room.

Dr Ron Landmann, chief of colon and rectal surgery and medical director of informatics at Baptist Health said in a statement: “Maestro provides the control and dependability needed in minimally invasive surgery at a time when staffing shortages introduce workflow challenges and variability.”

Moon Surgical recently announced an updated version of the system received CE marking. Moon Surgical said it improved scalability and refined aesthetics, with additional features such as cloud connectivity and surgeon-guided hands-free scope control.

Anne Osdoit, CEO of Moon Surgical said in a statement: “After treating fifty patients in our first-in-human clinical trial, we are excited to be doing clinical cases in the US.”

The robotics industry is growing at a CAGR of 29% and will be worth $568bn by 2030, according to GlobalData. In 2021, GlobalData valued the surgical robotics market at $9.6bn.

Earlier in September, UK robotic surgery group CMR Surgical raised $165m. In May 2023, Moon Surgical raised $55.4m in venture funding.

Generative AI set to transform the medical devices industry

Generative AI can improve personalized healthcare by collecting data from patients via wearable devices, which can provide continuous, real-time data that can complement traditional data sources such as imaging, patient records, and more. It can also enhance existing imaging techniques by generating high-quality images of organs using data from low-resolution images (such as ultrasounds). However, the collection and use of patient healthcare data through AI medical products could conflict with regulations around the globe.

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