Facebook says its AI can predict four days ahead of time whether a coronavirus patient’s condition will get worse – just by looking at a single chest X-ray.
- Facebook and NYU built AI to predict developments among COVID patients
- IT 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 the other uses scan sequences
- The third model is able to predict whether supplemental oxygen will be needed
Facebook says it has developed software that can predict whether a coronavirus patient’s health will deteriorate or whether he will need oxygen just by scanning his chest X-rays.
Working with New York University (NYU), the social media company says the system can calculate these developments in four days.
Together, they built 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, and the third uses an X-ray to determine if and how much oxygen to supplement a patient may need.
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Facebook and NYU have built 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 using a series of X-rays
The coronavirus has maintained a strong influence in the world for more than a year, starting 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 United States has suffered the worst with more than 23 million cases and more than 389,000 deaths.
As cases continue to rise, scientists and technology companies are working on innovative ways to detect symptoms before they take a deadly turn.
The third uses an X-ray to determine if and how much supplemental oxygen a patient may need. AI can make predictions four days ahead based on X-rays
Facebook and NYU each have five researchers who worked on the coronavirus prediction software.
“Our model using sequential chest radiographs can predict up to four days (96 hours) in advance if a patient may need intensive care solutions, usually exceeding the predictions of human experts,” said the authors in a blog published on Friday. market.
The team first ‘pre-trained’ the model with a public database of chest X-rays in MIMIC-CXR-JPG and CheXpert.
The system was then trained on NYU coronavirus chest radiographs that included a total of 26,383 images from 4,914 patients, which allowed the models to mark the worsening condition of a patient within 24, 48, 72 or 96 hours of the exam in question.
‘Based on reader studies that we conducted with radiologists at NYU Langone, our models that used X-ray image sequences outperformed human experts in predicting ICU needs and mortality predictions, and general predictions of long-term adverse events. (up to 96 hours), ‘the team shares on the blog.
“Being able to predict whether a patient will need oxygen resources would also be new and could help hospitals decide how to allocate resources in the coming weeks and months.”
Facebook says it has developed software that can predict whether a patient with coronavirus will deteriorate or need oxygen just by examining their chest X-rays.
William Moore, MD, professor of radiology at NYU Langone Health, shares a statement: ‘We were able to show that, using this AI algorithm, serial chest radiographs can predict the need for intensified care in patients with COVID – 19. ‘
“As COVID-19 continues to be a major public health problem, the ability to anticipate a patient’s need for increased care – for example, ICU admission – will be essential for hospitals.”