Diagnosis: Deep learning can help diagnose COVID-19 through imaging techniques like CT scans, X-rays, and MRI. Deep learning models can be trained to detect COVID-19 features in these images, which can help doctors make quick and accurate diagnoses. Drug discovery: Deep learning can help in drug discovery by predicting the effectiveness of existing drugs against COVID-19 and identifying potential new drugs that can be developed to fight the virus. Deep learning models can analyze large datasets of chemical compounds to identify those most likely effective against COVID-19. Disease tracking: Deep learning can help track the spread of COVID-19 by analyzing data from various sources like social media, news reports, and government databases.

Boston Dynamics' Spot robots have been used in many creative ways, from surveying a Ford plant in Michigan to herding sheep in New Zealand. Earlier this year, the tech company announced Spot was chipping in to help coronavirus patients -- now, we're seeing the fruits of that work. Boston Dynamics and MIT researchers say they've collaborated to create "Dr. Spot," a robot that can measure a patient's vital signs without doctor-to-patient contact. Spot robots are four-legged and designed to nimbly navigate areas wheeled robots cannot, either autonomously or via remote control.

For years, many artificial intelligence enthusiasts and researchers have promised that machine learning will change modern medicine. Thousands of algorithms have been developed to diagnose conditions like cancer, heart disease and psychiatric disorders. Now, algorithms are being trained to detect COVID-19 by recognizing patterns in CT scans and X-ray images of the lungs. Many of these models aim to predict which patients will have the most severe outcomes and who will need a ventilator. The excitement is palpable; if these models are accurate, they could offer doctors a huge leg up in testing and treating patients with the coronavirus. But the allure of AI-aided medicine for the treatment of real COVID-19 patients appears far off.

Developers at the Oxford-based data-visualisation company, Zegami, have created a machine learning model that can diagnose the virus from the images. Will Artificial Intelligence replace writers? How can Artificial Intelligence learn from Experience?

An artificial intelligence programme could be used to more quickly predict the outcome of coronavirus patients by studying X-rays of their chest. Developers at the Oxford-based data-visualisation company, Zegami, have created a machine learning model that can diagnose the virus from the images. However, the team say that in order to get better and more detailed results their AI needs to be trained on a wider range of X-ray images from infected patients. The team believe it could have an artificial intelligence system in place within a matter of weeks to study the disease if it gets enough X-ray images. Zegami CEO, Roger Noble, has written an open letter to the Oxford Health NHS Foundation Trust asking for more images to train the AI model.

Zhongnan Hospital of Wuhan University in Wuhan, China, is at the heart of the outbreak of Covid-19, the disease caused by the new coronavirus SARS-CoV-2 that has shut down cities in China, as well as Iran, Italy, and South Korea. That's forced the hospital to become a test bed for how quickly a modern medical center can adapt to a new infectious disease epidemic. One experiment is underway in Zhongnan's radiology department, where staff are using artificial intelligence software to detect visual signs of the pneumonia associated with Covid-19 on images from lung CT scans. Haibo Xu, professor and chair of radiology at Zhongnan Hospital, says the software helps overworked staff screen patients and prioritize those most likely to have Covid-19 for further examination and testing. He emailed WIRED an audio file of himself answering a reporter's questions about the project and answered other questions by email.

Zhongnan Hospital of Wuhan University in Wuhan, China, is at the heart of the outbreak of Covid-19, the disease caused by the new coronavirus SARS-CoV-2 that has shut down cities in China, South Korea, Iran, and Italy. That's forced the hospital to become a testbed for how quickly a modern medical center can adapt to a new infectious disease epidemic. One experiment is underway in Zhongnan's radiology department, where staff are using artificial intelligence software to detect visual signs of the pneumonia associated with Covid-19 on lung CT scan images. Haibo Xu, professor and chair of radiology at Zhongnan Hospital, says the software helps overworked staff screen patients and prioritize those most likely to have Covid-19 for further examination and testing. He emailed WIRED an audio file of himself answering a reporter's questions about the project and answered other questions by email.