GE Healthcare's regional president and CEO believes that AI will be an integral tool for doctors
AI-powered machines and doctors will soon be working “hand-in-hand” to ensure better outcomes for patients, according to Elie Chaillot, the president and CEO of eastern growth markets at GE Healthcare.
In a recent interview with Arabian Business, Chaillot said that GE Healthcare believes that “applied intelligence” will be used for a variety of purposes in the medical sector.
“We believe at this stage, the doctor and the machine will work together, hand-in-hand for a better outcome,” he said. “People say machines will replace doctors, but I don’t believe this is going to happen anytime soon.”
As an example, Chaillot said that AI-technology can help direct a doctor’s focus to certain areas of a scan that may need further attention.
“Many of the diseases we treat are multifactorial. You’ll still need a doctor who can build on what he has learned and discovered over decades, and then make a diagnosis,” he added. “But a machine is going to tell him, by looking at a scan, two or three spots that need to be flagged, for example.”
In another example, Chaillot said that AI technology will help avoid costly and unnecessary X-rays.
“About 30 percent of X-rays need to be redone,” he explained. “The machine will tell you how to reposition your patient to avoid this.”
Additionally, Chaillot said that he believes that 3D printing will increasingly be used for the manufacture of medical parts.
“You solve supply chain issues and don’t have to stack parts of anything. It’s not as costly,” he noted. “We believe that within 10 years, 75 percent of the parts we have will be 3D printing.”
A report from Transparency Market Research forecast growth of 18 percent a year in the global 3D medical devices market to reach $3.5 billion by 2025.
GE Healthcare operates a number of 3D printing labs aroyund the world, including the Innovative Design and Advanced Manufacturing Technology Centre for Europe in Uppsala, Sweden.
The company has already begun using 3D printing to create models of organs using data drawn from MRIs, X-rays and CT scans.