Artificial Intelligence Can Determine the Oxygen Required for COVID-19 Patient

Stand up Event - 2021
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A team of international researchers has built an artificial intelligence (AI) tool to predict how much extra oxygen a COVID-19 patient might need.

Over 20 hospitals worldwide, in collaboration with NVIDIAA%u2014a leader in AI technology, tested a new AI-based technique, known as federated learning, using data from across five continents.

The technique uses an algorithm to analyse chest X-rays and electronic health data from hospital patients with COVID-19 symptoms.

Once the algorithm had “learned” from the data, the analysis was brought together to build an AI tool%u2014EXAM (electronic medical record (EMR) chest X-ray AI model)%u2014which could predict the oxygen needs of hospital COVID patients anywhere in the world.

The results, published in the journal Nature Medicine, showed it predicted the oxygen needed within 24 hours of a patient’s arrival in the emergency department, with a sensitivity of 95 per cent and a specificity of over 88 per cent.

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Usually in AI development, when you create an algorithm on one hospital’s data, it doesn’t work well at any other hospital. By developing the EXAM model using federated learning and objective, multimodal data from different continents, we were able to build a generalisable model that can help frontline physicians worldwide," said Dr Ittai Dayan, from Mass General Bingham in the US, where the EXAM algorithm was developed.