A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery. - Beiqun Zhao; Ruth S. Waterman; Richard D. Urman; Rodney A. Gabriel (J. Medical Syst., 2019)

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks. - Christina M. Williams; Rahul Umashankar Chaturvedi; Richard D. Urman; Ruth S. Waterman; Rodney A. Gabriel (J. Medical Syst., 2021)

A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty. - Alvaro A. Macias; Dale N. Bongbong; Ruth S. Waterman; Sierra Simpson; Rodney A. Gabriel (J. Medical Syst., 2023)

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)

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)