Operating Room Metrics Score Card - Creating a Prototype for Individualized Feedback. - Rodney A. Gabriel; Robert Gimlich; Jesse M. Ehrenfeld; Richard D. Urman (J. Medical Syst., 2014)

An Anesthesia Medication Cost Scorecard - Concepts for Individualized Feedback. - Raymond J. Malapero; Rodney A. Gabriel; Robert Gimlich; Jesse M. Ehrenfeld; Beverly K. Philip; David W. Bates; Richard D. Urman (J. Medical Syst., 2015)

Developing a predictive model for discharge delay in the Post-Anesthesia Care Unit. - Rodney A. Gabriel; Jihoon Kim 001; Lucila Ohno-Machado (AMIA, 2016)

Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time. - York Chen; Rodney A. Gabriel; Bhavani Shankar Kodali; Richard D. Urman (J. Medical Syst., 2016)

The presence of highly similar notes within the MIMIC-III dataset. - Rodney A. Gabriel; Sanjeev Shenoy; Tsung-Ting Kuo; Julian J. McAuley; Chun-Nan Hsu (AMIA, 2017)

Predicting Surgery Duration with Neural Heteroscedastic Regression. - Nathan H. Ng; Rodney A. Gabriel; Julian J. McAuley; Charles Elkan; Zachary C. Lipton (MLHC, 2017)

Deduplication in a massive clinical note dataset. - Sanjeev Shenoy; Tsung-Ting Kuo; Rodney A. Gabriel; Julian J. McAuley; Chun-Nan Hsu (CoRR, 2017)

After-hour Versus Daytime Shifts in Non-Operating Room Anesthesia Environments: National Distribution of Case Volume, Patient Characteristics, and Procedures. - Rodney A. Gabriel; Brittany N. Burton; Mitchell H. Tsai; Jesse M. Ehrenfeld; Richard P. Dutton; Richard D. Urman (J. Medical Syst., 2017)

Preoperative Genetic Testing and Personalized Medicine: Changing the Care Paradigm. - Rodney A. Gabriel; Jesse M. Ehrenfeld; Richard D. Urman (J. Medical Syst., 2017)

Identifying and characterizing highly similar notes in big clinical note datasets. - Rodney A. Gabriel; Tsung-Ting Kuo; Julian J. McAuley; Chun-Nan Hsu (J. Biomed. Informatics, 2018)

Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. - Tsung-Ting Kuo; Rodney A. Gabriel; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2019)

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)

A tutorial on calibration measurements and calibration models for clinical prediction models. - Yingxiang Huang; Wentao Li; Fima Macheret; Rodney A. Gabriel; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2020)

EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. - Tsung-Ting Kuo; Rodney A. Gabriel; Krishna R. Cidambi; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2020)

Privacy-preserving model learning on a blockchain network-of-networks. - Tsung-Ting Kuo; Jihoon Kim 001; Rodney A. Gabriel (J. Am. Medical Informatics Assoc., 2020)

A Machine Learning Approach to Predicting Time Needed for Outpatient Surgery and Patient Recovery at a Freestanding Ambulatory Surgery Center. - Rodney A. Gabriel; Bhavya Harjai (AMIA, 2021)

Calibrating predictive model estimates in a distributed network of patient data. - Yingxiang Huang; Xiaoqian Jiang; Rodney A. Gabriel; Lucila Ohno-Machado (J. Biomed. Informatics, 2021)

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)

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)