Image: Senhance’s Surgical System with Digital Laparoscopy (Photo Courtesy of Asensus Surgical)
Challenges in laparoscopic surgery can affect the cost, use, effectiveness, and results of the procedure. For example, the surgeon’s inability to control vision can lead to efficiency and safety challenges. Rapid movement or unstable control of the camera can cause fogging, requiring a pause in the cleaning procedure. In addition, the limitations of traditional laparoscopy affect clinical intelligence, which is defined as point-of-care knowledge that allows a surgeon to make more informed decisions that can lead to better outcomes and procedural efficiency. Now a unique digital laparoscopic platform aims to eliminate the challenges and limitations of traditional laparoscopy by leveraging augmented intelligence to deliver unparalleled performance and patient outcomes through machine learning.
The Senhance Surgical System from Asensus Surgical, Inc. (Durham, NC, USA) is the first and only digital laparoscopic platform designed to support hospitals and surgeons by providing greater control in laparoscopy, reducing variability and increasing OR efficiency. With the addition of machine vision, augmented intelligence, and deep learning capabilities throughout the surgical experience, Senhance aims to holistically address current clinical, cognitive, and economic deficiencies that drive surgical outcomes and value-based healthcare.
Going beyond typical surgical robotic systems, Senhance provides surgical assurance through haptic feedback, eye-tracking camera control and 3D visualization, and is the first platform to offer 3mm instruments (the world’s smallest instrument available on a robotic surgical platform). The Senhance Surgical System is powered by the Intelligent Surgical Unit (ISU). The ISU enables machine vision tools to collect data related to anatomical structures and control the camera for a surgeon by responding to commands and recognizing particular objects and locations in the surgical field, and enables a surgeon to view the visualized field of view using the movement of their instruments.
Asensus plans to unlock clinical intelligence and capabilities to reduce surgical variability and its associated complications by adding machine vision, augmented intelligence, and deep learning capabilities that will be built on its digital library of data collected from surgeries performed with Senhance. The insights gained from these cases will help deliver on the promise of consistently superior surgery, regardless of a surgeon’s experience or skill level, by guiding better decision-making, enriching collaboration, and increasing predictability.
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Asensus Surgical, Inc.