American and Chinese researchers have devised a tool that uses artificial intelligence to predict patients with the emerging coronavirus, who will experience serious pulmonary complications.This tool will enable doctors to prioritize the treatment of some patients, especially since the global health systems of several countries around the world have exhausted their absorptive capacity, Megan Covey, of Grossman College of Medicine at New York University, told the Computer Matters & Contiu magazine.Dermatologists are already using artificial intelligence to anticipate patients at risk of developing skin cancer.And in the case of COVID-19, a disease that is not known much yet, the tool can lead doctors in the right direction to see which patients are supposed to be given priority in treatment, if hospitals are overburdened with patients, according to New York University professor of informatics who is involved in preparing the study, My people, Barry. The tool has detected many indications that a patient may have acute respiratory distress syndrome, a complication caused by "COVID-19", in which fluid fills the patient's lungs, killing 50 percent of people who develop it.Analysis by clever algorithm data of 53 patients with coronavirus in two hospitals in Wenzhou, China, showed that changes in the liver enzyme "alanine aminotransferase" level, hemoglobin level and pain signals, were the most visible indicators of possible complications.With other factors, the tool allowed the diagnosis of acute respiratory risk to be diagnosed with up to 80 percent accuracy.In contrast, other "COVID-19" symptoms, such as fever, CT scan of the lungs and strong immune responses, we're unable to determine whether patients with the virus mildly, may later develop respiratory distress syndrome.Age or gender is not a useful indicator, although other studies have indicated that high risks are reported in patients aged 60 and over."There is a lot of data the machine uses to get a result, which is different from what a doctor usually examines," Covey said, according to Agence France-Presse.The team is now trying to improve the device's work with data from New York, the epidemic outbreak center in the United States, with the hope that it will be ready for use in April.