Machine Learning Prediction Models to Reduce Length of Stay at Ambulatory Surgery Centers Through Case Resequencing. - Jeffrey L. Tully; William Zhong; Sierra Simpson; Brian P. Curran; Alvaro A. Macias; Ruth S. Waterman; Rodney A. Gabriel (J. Medical Syst., 2023)

Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes. - Onkar Litake; Brian H. Park; Jeffrey L. Tully; Rodney A. Gabriel (J. Am. Medical Informatics Assoc., 2024)

Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume. - Arjun Singh; Patrick E. Farmer; Jeffrey L. Tully; Ruth S. Waterman; Rodney A. Gabriel (J. Medical Syst., 2025)