Next-generation robotics in gastrointestinal surgery

• Published in: Nature reviews. Gastroenterology & hepatology Vol. 17; no. 7; pp. 430 - 440
• Main Authors: Kinross, James M., Mason, Sam E., Mylonas, George, Darzi, Ara
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.07.2020; Nature Publishing Group
• Subjects: 692/4020; 692/700/565/545; Artificial intelligence; Biomedicine; Clinical trials; Digestive System Surgical Procedures - education; Digestive System Surgical Procedures - methods; Digestive System Surgical Procedures - trends; Gastroenterology; Gastrointestinal surgery; Hepatology; Humans; Learning algorithms; Machine learning; Medicine; Medicine & Public Health; Perspective; Robotic surgery; Robotic Surgical Procedures - education; Robotic Surgical Procedures - methods; Robotic Surgical Procedures - trends; Robotics; Robots; Surgery; Theater; Theater reviews
• ISSN: 1759-5045; 1759-5053
• DOI: 10.1038/s41575-020-0290-z

The global numbers of robotic gastrointestinal surgeries are increasing. However, the evidence base for robotic gastrointestinal surgery does not yet support its widespread adoption or justify its cost. The reasons for its continued popularity are complex, but a notable driver is the push for innovation — robotic surgery is seen as a compelling solution for delivering on the promise of minimally invasive precision surgery — and a changing commercial landscape delivers the promise of increased affordability. Novel systems will leverage the robot as a data-driven platform, integrating advances in imaging, artificial intelligence and machine learning for decision support. However, if this vision is to be realized, lessons must be heeded from current clinical trials and translational strategies, which have failed to demonstrate patient benefit. In this Perspective, we critically appraise current research to define the principles on which the next generation of gastrointestinal robotics trials should be based. We also discuss the emerging commercial landscape and define existing and new technologies. The evidence base for robotic gastrointestinal surgery does not yet support its widespread adoption. Here, Kinross et al. discuss this evidence base and the principles on which future gastrointestinal surgical trials should be based, as well as emerging technologies.