technology news:
A research team at Google Medical Team Team is developing an artificial intelligence algorithm that predicts the health and death risk among hospital patients. Early results show that they are more accurate than the hospital warning system, and this progress confirms that the research team will help the company progress Large in health care.
According to the Bloomberg report, the potential of healthcare in Google's neural networks - a form of artificial intelligence software, particularly useful in the use of data for learning and development automatically - was able to create a tool that could predict a range of patient outcomes, In hospitals, their chances of treatment, and the risk of death.
The team looked at the condition of a woman with breast cancer at a late stage, when her lungs were already inundated. She was examined by two doctors and examined the radiation and then read the computers of the hospital vital signs, and accordingly estimated the risk of death by 9.3%.
While Google used its algorithm - which examined 175,639 points of data from the patient's electronic medical records - and presented its risk assessment of 19.9%. It is a very different assessment from the 9.3% hospital early warning rating (aEWR).
On May 8 this year, the Google team published its findings in a paper entitled "Deep, scalable and accurate learning with electronic health records." He said of the prediction algorithm: "This algorithm has outperformed the traditional predictive models used in all cases. We believe this approach can be used to create accurate and scalable predictions for a variety of pathological conditions. "
What impressed medical experts most was Google's ability to scan data that was previously out of reach of users.
Hospitals, doctors and other health care providers have been trying for years to improve the use of electronic health record stocks and other patient data, where more information shared and highlighted at the right time can save lives - or at least help medical workers spend time Less paperwork and more time caring for patients - but the current ways to handle healthcare data are costly, cumbersome and time-consuming.
"The next step in Google is to move this predictive system to clinics," Jeff Dean, head of artificial intelligence at Google, told Bloomberg. "The Health Research Unit, referred to as the Medical Brain, has a wide range of artificial intelligence tools that can predict symptoms And diseases with a high level of accuracy. "
Health-care software is now relying on coding code today. In contrast, Google's approach, which relies on machine learning to analyze data on its own, can outperform anything else.
Google is cautious when it comes to patient information, especially with increased public scrutiny of data collection in the recent period.
Google is working with Verily to develop more dynamic signal tracking devices. Even if patients do not use wearable health tracking devices, Google has plenty of other data to take advantage of. Google's Android phones track things like how people walk and valuable information to measure mental decline and some other diseases. All of these data can be added to medical algorithms.
Medical records are just part of the health care plans for Google's artificial intelligence systems. Her medical research team developed artificial intelligence systems for radiation, ophthalmology, cardiology and dermatology. The team also devised an application to identify malignant skin diseases.
According to the Bloomberg report, the potential of healthcare in Google's neural networks - a form of artificial intelligence software, particularly useful in the use of data for learning and development automatically - was able to create a tool that could predict a range of patient outcomes, In hospitals, their chances of treatment, and the risk of death.
The team looked at the condition of a woman with breast cancer at a late stage, when her lungs were already inundated. She was examined by two doctors and examined the radiation and then read the computers of the hospital vital signs, and accordingly estimated the risk of death by 9.3%.
While Google used its algorithm - which examined 175,639 points of data from the patient's electronic medical records - and presented its risk assessment of 19.9%. It is a very different assessment from the 9.3% hospital early warning rating (aEWR).
On May 8 this year, the Google team published its findings in a paper entitled "Deep, scalable and accurate learning with electronic health records." He said of the prediction algorithm: "This algorithm has outperformed the traditional predictive models used in all cases. We believe this approach can be used to create accurate and scalable predictions for a variety of pathological conditions. "
What impressed medical experts most was Google's ability to scan data that was previously out of reach of users.
Hospitals, doctors and other health care providers have been trying for years to improve the use of electronic health record stocks and other patient data, where more information shared and highlighted at the right time can save lives - or at least help medical workers spend time Less paperwork and more time caring for patients - but the current ways to handle healthcare data are costly, cumbersome and time-consuming.
"The next step in Google is to move this predictive system to clinics," Jeff Dean, head of artificial intelligence at Google, told Bloomberg. "The Health Research Unit, referred to as the Medical Brain, has a wide range of artificial intelligence tools that can predict symptoms And diseases with a high level of accuracy. "
Health-care software is now relying on coding code today. In contrast, Google's approach, which relies on machine learning to analyze data on its own, can outperform anything else.
Google is cautious when it comes to patient information, especially with increased public scrutiny of data collection in the recent period.
Google is working with Verily to develop more dynamic signal tracking devices. Even if patients do not use wearable health tracking devices, Google has plenty of other data to take advantage of. Google's Android phones track things like how people walk and valuable information to measure mental decline and some other diseases. All of these data can be added to medical algorithms.
Medical records are just part of the health care plans for Google's artificial intelligence systems. Her medical research team developed artificial intelligence systems for radiation, ophthalmology, cardiology and dermatology. The team also devised an application to identify malignant skin diseases.
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