Facebook says its AI can predict four days in advance if a coronavirus patient’s condition comes down – just by looking at a single-breast X-ray
- Facebook and NYU built AI to predict improvements among COVID patients
- IT was trained with thousands of breast X-rays with and without COVID
- The software is based on a series of three machine learning modules
- One predicts decay with one scan and another using sequences of scans
- The third model is able to predict whether additional oxygen is required
Facebook says it has designed software that is capable of predicting whether a coronavirus patient’s health is declining or whether he or she needs oxygen just by scanning their breast X-rays.
Working with New York University (NYU), the social media company says the system can work out these improvements in four days.
Together they have built three machine learning models to help doctors better prepare as things around the world continue to improve.
One model is designed to predict shrinkage using a single-breast X-ray, another does the same but through a series of X-rays and the third uses an X-ray. -ray to find out if and how much extra oxygen a patient needs.
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Facebook and NYU have built three machine learning models to help doctors better prepare as things around the world continue to pick up. One model is designed to predict decay using one breast X-ray, another does the same thing only through a series of X-rays
The coronavirus has held a strong hold on the world for more than a year starting in Wuhan, China.
There are more than 93 million cases worldwide and around two million people have lost their lives to the virus.
However, the U.S. has worsened with over 23 million cases and more than 389,000 deaths.
As things go up, scientists and tech companies are working on innovative ways to capture signals before taking a deadly leg.
The third one uses X-ray to find out if and how much extra oxygen a patient may need. The AI can make a prediction four days in advance based on the X-rays
Facebook and NYU have five researchers working on coronavirus prediction software.
‘Our model using continuous breast X-rays can predict up to four days (96 hours) in advance if a patient may require more intensive care solutions, typically performing better the predictions from human experts, ‘the authors said in a blog post published Friday.
The team first ‘prepared’ the model with a public database of chest X-rays of MIMIC-CXR-JPG and CheXpert.
The system was then trained on NYU coronavirus chest X-rays that included a total of 26,383 images from 4,914 patients, which allowed the models to label patients ’condition worsened by 24 , 48, 72, or 96 hours of the scan in question.
Based on reader studies conducted by radiologists at NYU Langone, our models that used sequences of X-ray imaging outperformed human experts at ICU needs prediction and mortality prediction, and pre- report long-term adverse events (up to 96 hours), ‘the team shares in the blog.
It is the first to predict whether a patient will need oxygen resources, and may help hospitals as they decide how resources should be allocated in the weeks and weeks. months ahead. ‘
Facebook says they have designed software that can predict whether a patient’s coronavirus health is declining or whether they need oxygen just by scanning their breast X-rays
William Moore, MD, Professor of Radiation at NYU Langone Health, shares in a statement: ‘We have been able to show, by using this AI algorithm, that linear breast radiographs can predict on the need for increased care in patients with COVID -19. ‘
‘As COVID-19 remains a key public health issue, the ability to predict patient need for increased care – for example, ICU admission – will be critical for hospitals.’