Digital Laparoscopic Platform Leverages Augmented Intelligence and Machine Learning – Surgical Techniques

Image: The Senhance Surgical System with digital laparoscopy (Photo courtesy of Asensus Surgical)

The challenges of laparoscopic surgery can impact the cost, utilization, effectiveness, and outcome of the procedure. For example, the surgeon’s inability to control their vision can create efficiency and safety issues. Rapid movement or unstable camera control may cause fogging, requiring a pause in the cleaning procedure. Additionally, the limitations of traditional laparoscopy impact clinical intelligence, which is defined as point-of-care knowledge that enables a surgeon to make more informed decisions that can improve patient outcomes and efficiency. the procedure. Today, a first-of-its-kind 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 learning automatique.

The Senhance Surgical System from Asensus Surgical, Inc. (Durham, NC, USA) is the first and only digital laparoscopic platform designed to help hospitals and surgeons by providing better laparoscopic control, reducing variability and increasing operating room efficiency. With the addition of machine vision, augmented intelligence, and deep learning capabilities throughout the surgical experience, Senhance aims to holistically address the current clinical, cognitive, and economic gaps that drive outcomes surgical and value-based health care.

Senhance goes beyond typical surgical robotic systems, providing 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). Senhance Surgical System is powered by Intelligent Surgical Unit (ISU). The ISU allows machine vision driven tools to collect data related to anatomical structures and camera control for a surgeon by responding to commands and recognizing certain objects and locations in the surgical field and allows a surgeon to modify the field of vision visualized using the movement of their instruments.

Asensus intends to unlock clinical intelligence and capabilities to reduce surgical variability and associated complications by adding machine vision, augmented intelligence and deep learning capabilities that will be built on the library digital data collected from surgeries performed using 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 improving predictability.

Related links:
Asensus Surgical, Inc.