Cincinnati Children's Hospital Medical Center

This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.

This research applied machine learning to develop a model predicting surgical cancellations among pediatric patients, and found the feasibility in using these algorithms as a cost-effective quality-improvement measure.

This research explored the effectiveness of integrating behavioral tools into an evidence-based software to improve access to behavioral treatment strategies for children with attention deficit hyperactivity disorder.