Google develops a medical brain that predicts when people will get sick

According to foreign media reports, Google is developing tools that can predict when people will get sick. The company is applying machine learning to the medical field, which was originally used only to develop consumer products such as translation and image search.

To achieve these goals, Google has teamed up with organizations including Stanford University School of Medicine, the University of California, San Francisco School of Medicine, and the University of Chicago School of Medicine. These agencies provide millions of patient medical records that have been stripped of personally identifiable data and shared with Google Research team Google Brain. Katherine Chou, product lead for Google Brain team, said: "We can improve the prediction of medical events happening in the human body. We have verified the data and seen satisfactory results." Until the formal review process At the end, these results will be announced.

谷歌开发可预测人们何时会生病的医疗大脑

Hospitals are now being attacked more and more to ensure the health of patients. Healthcare organizations are shifting away from the “paid services” model, in which they need to perform expensive tests and procedures for a fee. Pay more attention to “value-based care”, which means you can get rewards for improving your health outcomes. For Silicon Valley technology companies and start-ups, this transformation represents a huge opportunity. These companies are using existing data to help the medical structure take proactive steps to ensure patient health.

For example, a computer may soon gain the ability to determine if a patient is suffering from a potentially life-threatening illness, such as a poisonous illness, or to re-receive a patient who is allowed to leave the hospital. This advancement can also help solve major problems faced by medical professionals such as radiology and pathology, where medical staff need to process large amounts of information, but time is limited, even the most highly trained human eye may occasionally make mistakes. .

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