Predicting the Likelihood of In-hospital Survival of Pediatric Patients Prior to ECMO Cannulation Utilizing Artificial Intelligence (AI)

Ayaka Tsutsumi, SSM Cardinal Glennon Children's Medical Center, St. Louis, MO, United States; Chiara Camerota, Saint Louis University, St. Louis, MO, United States; Wazma Ali, Saint Louis University, Saint Louis, MO, United States; Flavio Esposito, Saint Louis University, Saint Louis, MO, United States; Erik C. Madsen, SSM Cardinal Glennon Children's Medical Center, Saint Louis, MO, United States; Richard Herman, SSM Cardinal Glennon Children's Medical Center, St Louis, MO, United States; Priya Reddy, Saint Louis University School of Medicine, St. Louis, MO, United States; Jessica Qiu, Saint Louis University School of Medicine, Saint Louis, MO, United States; Ruizhi Huang, Saint Louis University, Cedar Park, TX, United States; Mary B. Taylor, Children's of Mississippi, Jackson, MS, United States; Takanari Ikeyama, Aichi Children's Health and Medical Center, Obu, Aichi, Japan; Shin Miyata, SSM Cardinal Glennon Children's Medical Center, St Louis, MO, United States