New framework outlines how to develop, evaluate and monitor surgical robots

In 1999, Intuitive emerged as a pioneer in the field of robot-assisted surgery with the launch of their da Vinci system. The system works by allowing surgeons to perform surgery with instruments guided by a console in real time. The small instruments have a greater range of motion than the human hand and highly magnify the area – making the surgery much less invasive than traditional techniques.

It is mostly used for complex surgeries, such as for bladder, prostate and kidney cancer.

However, since in recent years many of the patents tied to some of the da Vinci’s most basic features have expired, and there has been a rush to develop new systems with even more advanced functions.

As a result, an international group have come together to create a framework to guide the introduction of robots and ensure we are prepared for their use in surgery.

The consensus statement, published in Nature Medicine, considers the perspective of clinicians, patients, hospitals and developers to agree safe criteria for increasingly autonomous robots as their use in medical settings increases.

First author, Mr Hani Marcus (UCL Queen Square Institute of Neurology), said: “This framework goes beyond providing just a clinical perspective on the use of robots and AI in surgery.

“The statement was written with patients, and they are very much at the heart of it. We also include recommendations on the need to evaluate ergonomics so that clinicians find the robots usable, and wider economic analyses to ensure that hospitals find the robots cost-effective, alongside promoting global health and sustainability.

“It’s a broad remit, but having so many different perspectives has given us clear guidance for bringing these technologies into the operating theatre.”

The framework provides recommendations for evaluation across the entire lifespan of robots, including: Pre-clinical and early clinical evaluation, Comparative evaluation, and Long-term monitoring and technological evolution.

Recommendations for early clinical evaluation included: the need to document any changes to the robot, its software, or its use; developing the working relationships between robots and surgeons; creating a transparent patient consent process; and assessing the potential costs and environmental impact.

At the comparative evaluation stage, recommendations were centred around: refining techniques and establishing clear policies to govern their clinical use; and comparing robot-assisted surgery with the current gold-standard treatment to start building up the evidence base.

And the focus of final stage recommendations were: developing standardised training for clinicians; and monitoring patient outcomes over time to ensure the use of robots in surgery continues to be supported by solid data.

Mr Marcus said: “All of a sudden, there’s not just one robot but many robots in widespread use, so it’s a good time to have a framework to evaluate them.

“We hope this framework will provide a safety net, particularly with the emergence of AI and increasingly autonomous robots.”

The framework was created by the IDEAL Robotics Colloquium, which involves 81 researchers, from 12 countries across the world, and is managed by the University of Oxford. 

The first author is funded by the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS) and the NIHR Biomedical Research Centre (BRC) at UCLH and UCL. The work was also co-authored by Professor Danail Stoyanov (UCL Computer Science and Director of WEISS).

WEISS brings together researchers from a wide range of departments at UCL, including Medical Physics and Biomedical Engineering, Computer Science and Mechanical Engineering. These academic researchers work in partnership with clinical researchers from areas such as the UCL Division of Surgery & Interventional Sciences and leading hospitals. 

Links

• Research in Nature Medicine
• Media coverage
• Hani Marcus's academic profile
• UCL Queen Square Institute of Neurology
• UCL Brain Sciences
• Professor Danail Stoyanov's academic profile
• UCL Computer Science
• UCL Engineering
• UCL WEISS

Image

• Credit: ITV News

Media contact 

Poppy Tombs

E: p.tombs [at] ucl.ac.uk