Jonathan Y Lam, Chisato Shimizu, Adriana H Tremoulet, Emelia Bainto, Samantha C Roberts, Nipha Sivilay, Michael A Gardiner, John T Kanegaye, Alexander H Hogan, Juan C Salazar, Sindhu Mohandas, Jacqueline R Szmuszkovicz, Simran Mahanta, Audrey Dionne, Jane W Newburger, Emily Ansusinha, Roberta L DeBiasi, Shiying Hao, Xuefeng B Ling, Harvey J Cohen, Shamim Nemati, Jane C Burns
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a novel disease that was identified during the COVID-19 pandemic and is characterised by systemic inflammation following SARS-CoV-2 infection. Early detection of MIS-C is a challenge given its clinical similarities to Kawasaki disease and other acute febrile childhood illnesses. We aimed to develop and validate an artificial intelligence algorithm that can distinguish among MIS-C, Kawasaki disease, and other similar febrile illnesses and aid in the diagnosis of patients in the emergency department and acute care setting...
October 2022: The Lancet. Digital health