Researchers from the UAMS/ACH Clinical Informatics Fellowship Program received recognition and presented research at the MIS Virtual Summit, an international meeting for artificial intelligence (AI) and machine learning (ML) research.
The Medical Intelligence Society (MIS) Virtual Summit was held online July 29-30.
Then-senior fellow, now faculty member, Daniel Liu, M.D., and Program Director Feliciano “Pele” Yu Jr., M.D., MSPH, MSHI, FAMIA, won the $500 first-place prize in a data science competition hosted by the society for their project, “Using Gradient-Boosting Forest Models to Examine the Impact of ACEs in Predicting Mental Well-being.”
Dr. Yu also presented “Algorithms in Real World Scenarios: Experience with EHR Vendor-derived Machine Learning Models.” Dr. Liu assisted with the research behind the presentation.
The talk provided a perspective on EHR vendor-derived ML tools from real-world use at Arkansas Children’s Hospital (ACH). While AI and ML tools are becoming more commonplace in treating adults, the literature around their use with children is limited. Dr. Yu provided an overview of the off-the-shelf models available in pediatrics and lessons learned from implementing and using them at ACH.
“Artificial intelligence and machine learning tools have great promise for use in treating children, just like adults, but the research to develop and implement these tools is lagging behind,” Yu said. “Clinical Informatics fellows from a pediatric background or with an interest in pediatrics can really make a difference in this growing body of research.”