Researchers Use AI to Detect COVID-19 without testing
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Researchers from New York-based Mount Sinai Health System used AI algorithms in conjunction with chest CT scans and patient history to quickly diagnose patients who were positive for COVID-19, a study published in Nature Medicine.

• Researchers relied on CT scans of more than 900 patients that had been admitted to 18 medical centers in 13 Chinese provinces. They included 419 confirmed COVID-19-positive cases and 486 COVID-19-negative scans.

• Using patient data, researchers developed an AI algorithm to produce separate probabilities of COVID-19 positivity based on CT images, clinical information, and the two combined.

• The algorithm correctly identified 17 of 25 patients whose RT-PCR results had tested positive for COVID-19 but who presented with normal CT scans; for comparison, radiologists had classified all the patients as COVID-negative.

• In March, cognitive computing platform vendor behold.ai announced it had developed an AI-based algorithm to flag chest X-rays from COVID-19. Calling its platform "instant triage," behold.ai predicted it could help speed COVID-19 diagnosis.

"This toolkit can easily be deployed worldwide to other hospitals, either online or integrated into their own systems," said researchers

https://www.nature.com/articles/s41591-020-0931-3
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