COVID-19 has disrupted science in the way it has disrupted everything else. In the short term, universities have largely closed shop as a way to maximize social distancing, and lots of science – or at least, lots of bench work – is not getting done.
The novel coronavirus pandemic has been managed with widely varying degrees of success around the world. Artificial intelligence (AI), which can help to power all sorts of efforts, has been enlisted thus far in limited ways. But researchers at a virtual conference held on April 1 by the Stanford Institute for Human-Centered Artificial Intelligence explored some of the ongoing and potential applications of AI to systematize efforts to fight COVID-19.
An artificial intelligence-based system can accurately detect COVID-19 using thoracic CT scans in patients with respiratory symptoms, according to a preprint study published on arXiv.org. The system can also help monitor patients with the disease. Other teams have employed AI to speed diagnosis and develop clarity on the signature appearance of the disease in the lungs of symptomatic patients.