pronunciation or improper syntax, the system being developed by Hager's team might identify surgical movements that are imprecise or too time-consuming.
But to get to that point, computers first must become fluent in the "language" of surgery. This will require computers to absorb data concerning the best ways to complete surgical tasks. As a first step, the researchers have begun collecting data recorded by Intuitive Surgical's da Vinci Surgical Systems. These systems allow a surgeon, seated at a computer workstation, to guide robotic tools to perform minimally invasive procedures involving the heart, the prostate and other organs. Although only a tiny fraction of hospital operations involve the da Vinci, the device's value to Hager's team is that all of the robot's surgical movements can be digitally recorded and processed.
When a surgeon operates the controls of a da Vinci robotic system, the device records these hand movements.
In a paper presented at the Medical Image Computing and Computer-Assisted Intervention Conference in October 2005, Hager's team announced that it had developed a way to use data from the da Vinci to mathematically model surgical tasks such as suturing, a key first step in deciphering the language of surgery. The lead author, Johns Hopkins graduate student Henry C. Lin, received the conference award for best student paper.
"Now, we're acquiring enough data to go from ‘words' to ‘sentences,'" said Hager, who is deputy director of the National Science Foundation Engineering Research Center for Computer-Integrated Surgical Systems and Technology, based at Johns Hopkins. "One of our goals for the next few years is to develop a large vocabulary that we can use to represent the motions in surgical tasks."
The team also hopes to incorporate video data from the da Vinci and possibly from minimally invasive procedures performed directly by surgeons. In such operations, surgeons insert i
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