Once again, Microsoft has seriously entered the medical field, which is quite difficult for technology companies, and will use its technology in cloud services and artificial intelligence this time. The company has formed a new R&D department and has started working with large medical suppliers on related projects.
Not long ago, Microsoft announced that it has launched a new medical project called Healthcare NExT with its partner Pittsburgh Medical Center University (UPMC) as part of the R&D department, combining the wisdom of UPMC's medical practitioners and Microsoft artificial intelligence practitioners to study how Use AI to share the work of inputting electronic medical record data, and even use AI for triage and assist outpatient work.
Re-enter medical rivers and lakes
"I want to combine the company's ultra-large-scale cloud computing with the power of medical research to make the medical practitioners who work with Microsoft a major success," said Peter Lee, vice president of research at Microsoft, who is responsible for the project.
Microsoft has also been involved in the medical field, and the results achieved are not bad. Previously, Microsoft had a "Health Solutions Group", which merged with General Electric last year after several years of operation, and Microsoft also sold the company's stake.
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The company announced that big news always likes to open a large conference, Microsoft is no exception, just taking advantage of the 2017 HIMSS medical information conference, released the news one week before the opening. According to Microsoft's statement, they will use natural language recognition technology instead of doctors to manually enter electronic medical records, reduce doctors' burnout, improve medical efficiency, and smooth medical information work.
At Microsoft's Israel office, the company has begun to use its chat bot technology to develop a "distribution robot" for the mobile interrogation platform MDLIVE. In the demo video, a Microsoft researcher told the robot that he had a leg pain. The robot learned from the history of medication that she recently took the pill, found her recent activity from the sports wear record, and put a picture of the human body. She pointed out the location of the pain, and eventually the robot calculated that she was likely to have a blood clot in her leg and found a nurse. In addition, the triage robot will also recommend doctors and answer questions about medical insurance.
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