Corresponding author Professor Amir H Gandomi, from the University of Technology Sydney (UTS) Data Science Institute, said there was a pressing need for effective automated tools to detect COVID-19, given the significant impact on public health and the global economy.
The tool, called iStar (Inferring Super-Resolution Tissue Architecture), was developed by researchers at the Perelman School of Medicine at the University of Pennsylvania, who believe they can help clinicians diagnose and better treat cancers that might otherwise go undetected.
These visits include video calls with registered dietitian nutritionists, who have a critical role in helping patients take on lifestyle changes through medical nutrition therapy.
The study, led by researchers at the University Health Network (UHN), Unity Health Toronto, and ICES, also showed that patients receiving virtual care outside of an existing family doctor-patient relationship were 25 percent more likely to have an in-person visit and 88 percent more likely to have another virtual visit within seven days.