Skip to Content

Robot in the OR

The da Vinci robot can shorten surgical recovery times.
June 22, 2010
The robot has three arms, two of which can be tipped with a number of different tools, such as a scalpel, scissors, forceps, or a needle driver for suturing. The third arm holds the imaging endoscope, which lets surgeons see inside the body.
Four rotating discs control the tools’ movement, enabling fine precision and multiple degrees of freedom.
A hollow port is inserted into the abdomen so that the small tools can be fed into the patient.
A surgeon uses a tool in the patient.
Once the tools are attached to the arms, which are covered in plastic to maintain sterility, the large machine is wheeled over to the patient.
The robot’s endoscope holds two small imaging devices that capture two independent images. These are sent to the console, where the surgeon views them as a single stereoscopic image.
This view makes it easier for the surgeon to accurately gauge the position of the tools relative to fragile tissue. Surgeon Hiep Nguyen controls the tools by means of two multijointed handles on the console.
His swift movements resemble those of an expert video gamer. Nguyen jokes that today’s gamers will make tomorrow’s best surgeons.
The surgeons’ progress can be seen on a number of screens placed around the room.
And in the minute movements of the robot’s hulking arms.
After the procedure, surgeons sew up the small incisions and cover them with bandages.

Nguyen says the system saves his hospital money because patients can go home sooner than they do after conventional open surgeries. However, the benefits of operating with the robot are less clear in procedures, such as prostat­ectomy, that are routinely performed with traditional laparoscopic tools already. Nguyen, a strong advocate for robotic surgery, would like to see the technology advance faster and become less costly. “The system is very expensive because only one company makes it now,” he says. “We need more competition to drive down the price.”

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

OpenAI teases an amazing new generative video model called Sora

The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.

Google’s Gemini is now in everything. Here’s how you can try it out.

Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.

This baby with a head camera helped teach an AI how kids learn language

A neural network trained on the experiences of a single young child managed to learn one of the core components of language: how to match words to the objects they represent.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.