Better for artificial intelligence: because it will save your life soon.

According to Microsoft Research Eric? Horwitz's point of view, soon, your doctor may rely on an artificial intelligence program to make medical analysis recommendations - thanks to this, you may become healthier.

Microsoft Research is headquartered in Redmond, Washington. At the recent White House artificial intelligence seminar, as a research and director, Horviz presented some data related to medical analysis recommendations. This artificial intelligence seminar was held in Washington, DC, for a total of four events. Horviz attended the second event to help the White House Science and Technology Policy Office regulate the artificial intelligence.

The science research projects studied by Microsoft Research involve more than 60 fields in computer science, including artificial intelligence, but the two projects that Horvitz is mainly responsible for are related to health care. He hopes to solve the problem with the power of artificial intelligence tools. Various problems in the medical field. One of the projects is for medical errors, according to Horwitz, where more than 400,000 people die each year in the United States because of medical errors. “The number of deaths per year due to medical errors is equivalent to the urban population of Auckland and Miami. In fact, medical errors are the third leading cause of death in the United States. The first and second places are heart disease and cancer.”

Above: A Project Emerge medical system powered by artificial intelligence technology is helping healthcare professionals avoid making medical mistakes.

Microsoft is currently working with healthcare organizations (including Hopkins University's Armstrong College patient safety and medical quality programs) to develop software that identifies potential medical errors. They hope that these artificial intelligence software can bring a "safety net" to medical care workers. “This artificial intelligence medical software has to learn to identify anomalies,” Horwitz said. “Artificial intelligence medical software needs to learn to ignore treatment behaviors, and also to learn about behaviors that value treatment and to mark these behaviors.”

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