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Facebook says its AI can predict four days in advance if a coronavirus patient’s condition will deteriorate – simply by looking at a single chest x-ray
- Facebook and NYU built AI to predict developments in COVID patients
- He was trained with thousands of chest x-rays with and without COVID
- The software is based on a series of three machine learning models
- One predicts deterioration with a scan and another uses a sequence of scans
- The third model is able to predict whether additional oxygen will be needed
Facebook claims to have designed software that can predict whether the health of a coronavirus patient will deteriorate or need oxygen simply by scanning their chest x-rays.
In collaboration with New York University (NYU), the social media company says the system can calculate these developments over four days.
Together, they built three machine learning models to help physicians better prepare as cases around the world continue to increase.
One model is designed to predict deterioration using a single chest x-ray, another does the same but with a series of x-rays and the third uses an x-ray to determine if and how much additional oxygen a patient may have. need.
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Facebook and NYU have created three machine learning models to help doctors better prepare as cases around the world continue to rise. One model is designed to predict deterioration using a single chest x-ray, another does the same, but with a series of x-rays.
The coronavirus has retained a strong hold on the world for more than a year from Wuhan, China.
There are over 93 million cases worldwide and around two million people have lost their lives to the virus.
However, the United States was the most affected with more than 23 million cases and more than 389,000 deaths.
As cases continue to rise, scientists and tech companies are working on innovative ways to detect symptoms before they turn deadly.
The third uses an x-ray to determine if and how much additional oxygen a patient may need. AI can make predictions four days in advance based on x-rays
Facebook and NYU each have five researchers who worked on coronavirus prediction software.
“ Our model using sequential chest x-rays can predict up to four days (96 hours) in advance whether a patient may need more intensive care solutions, typically surpassing the predictions of human experts, ” the researchers said. authors in a blog post posted on Friday.
The team first “pre-trained” the model with a public database of chest x-rays on MIMIC-CXR-JPG and CheXpert.
The system was then trained in chest x-rays of the NYU coronavirus which included a total of 26,383 images from 4,914 patients, which allowed models to label a patient’s condition worsening with 24, 48, 72 or 96 hours of the analysis in question.
“ Based on reader studies we conducted with radiologists at NYU Langone, our models using x-ray image sequences have outperformed human experts in predicting ICU mortality needs and predictions, and forecasting overall longer-term adverse events (up to 96 hours). », Shares the team in the blog.
“Being able to predict whether a patient will need oxygen resources would also be a first and could help hospitals decide how to allocate resources in the weeks and months to come.
Facebook claims to have designed software that can predict whether a coronavirus patient’s health will deteriorate or need oxygen simply by scanning their chest x-rays
William Moore, MD, professor of radiology at NYU Langone Health, shares in a statement: “ We were able to show that with the use of this artificial intelligence algorithm, serial chest x-rays can predict the need for a escalation of care for patients with COVID -19. “
“As COVID-19 continues to be a major public health problem, the ability to predict a patient’s need for increased care – for example, admission to intensive care – will be essential for hospitals.
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