Health systems are using AI to predict severe COVID-19 cases. But limited data could produce unreliable results

As the United States braces for a bleak winter, hospital systems across the country are ramping up their efforts to develop AI systems to predict how likely their Covid-19 patients are to fall severely ill or even die. Yet most of the efforts are being developed in silos and trained on limited datasets, raising crucial questions about their reliability.