Facebook claims that its AI could predict four days in advance whether the condition of a coronavirus patient would worsen – by just looking at a single chest
- Facebook and NYU built AI to predict development among COVID patients
- IT’S TRAINED WITH THOUSANDS OF BREAST X-RAYS WITH AND WITHOUT COVID
- The software is based on a series of three machine learning models
- One predicts attenuation with one scan and the other uses a series of scans
- The third model can predict whether additional oxygen is needed
Facebook claims to have designed software that can predict whether a coronavirus patient’s health will deteriorate or need oxygen just by scanning their chest x-rays.
In collaboration with the University of New York (NYU), the social media company says the system can calculate such developments for four days.
Together they have built three machine learning models to better prepare doctors as cases continue to increase around the world.
One model is designed to predict deterioration using a single X-ray of the breast, the other does the same but through a series of X-rays, and the third uses an X-ray to determine if and how much supplemental oxygen is present. need a patient.
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Facebook and NYU have built three machine learning models to help doctors better prepare as cases continue to increase around the world. One model is designed to predict deterioration using a single chest X-ray, another does the same but through a series of x-rays
The coronavirus has been holding the world strong for more than a year after it was launched in Wuhan, China.
There are more than 93 million cases worldwide and about two million people have lost their lives due to the virus.
However, the US had the heaviest with more than 23 million cases and more than 389,000 deaths.
As cases continue to increase, scientists and technology companies are working on innovative ways to capture symptoms before taking a deadly turn.
The third uses an X-ray to determine if and how much supplemental oxygen a patient needs. The AI can predict four days in advance based on the X-rays
Facebook and NYU each have five researchers who worked on the coronavirus prediction software.
“Our model using consecutive chest x-rays can predict up to four days (96 hours) in advance if a patient needs more intensive care solutions, which are usually better than the predictions of human experts,” the authors said in a blog post that Was published Friday.
The team first ‘practiced’ the model with a public database of chest x-rays on MIMIC-CXR-JPG and CheXpert.
The system was then trained on X-rays of the chest of the NYU coronavirus which included a total of 26,383 images of 4,914 patients, allowing the models to attenuate a patient’s condition by 24, 48, 72 or 96 hours of the relevant scan.
‘Based on reader studies we conducted with radiologists at NYU Langone, our models using row-beam imaging performed better than human experts in predicting ICU needs and mortality forecasts, and overall predictions of adverse events over the longer term (up to 96 hour). ” shares the team in the blog.
“Being able to predict whether a patient needs oxygen resources will also be a first, and it can help hospitals if they decide to allocate resources in the coming weeks and months.”
Facebook claims to have designed software that can predict whether a coronavirus patient’s health will deteriorate or need oxygen just by examining their chest.
William Moore, MD, a professor of radiology at NYU Langone Health, shares a statement: ‘We were able to show that using this AI algorithm, serial radiographs can predict the need for escalation of care in patients with COVID – 19. ‘
‘As COVID-19 continues to be a major public health problem, the ability to predict a patient’s need for care enhancement – for example, admission to the ICU – is essential for hospitals.