The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. - Anis Davoudi; Kumar Rohit Malhotra; Benjamin Shickel; Scott Siegel; Seth Williams; Matthew Ruppert; Emel Bihorac; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2018)

Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients. - Marko Suvajdzic; Azra Bihorac; Parisa Rashidi; Matthew Ruppert; Seth Williams; Tezcan Ozrazgat-Baslanti; Triton Ong; Joel Appelbaum (SeGAH, 2019)

The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality. - Triton Ong; Matthew Ruppert; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Marko Suvajdzic; Azra Bihorac (CoRR, 2019)

Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. - Shounak Datta; Tyler J. Loftus; Matthew M. Ruppert; Chris Giordano; Lasith Adhikari; Ying-Chih Peng; Yuanfang Ren; Benjamin Shickel; Zheng Feng; Gloria Lipori; Gilbert R. Upchurch Jr.; Xiaolin Li 001; et al. (CoRR, 2019)

Application of Deep Interpolation Network for Clustering of Physiologic Time Series. - Yanjun Li 005; Yuanfang Ren; Tyler J. Loftus; Shounak Datta; Matthew Ruppert; Ziyuan Guan; Dapeng Oliver Wu; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2020)

Pain Action Unit Detection in Critically Ill Patients. - Subhash Nerella; Julie Cupka; Matthew Ruppert; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (COMPSAC, 2021)

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU. - Benjamin Shickel; Anis Davoudi; Tezcan Ozrazgat-Baslanti; Matthew Ruppert; Azra Bihorac; Parisa Rashidi (Frontiers Digit. Health, 2021)

A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. - Agrayan K. Gupta; Suranga Nath Kasthurirathne; Huiping Xu; Xiaochun Li 003; Matthew M. Ruppert; Christopher A. Harle; Shaun J. Grannis (J. Am. Medical Informatics Assoc., 2022)

Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis. - Esra Adiyeke; Yuanfang Ren; Ziyuan Guan; Matthew M. Ruppert; Parisa Rashidi; Azra Bihorac; Tezcan Ozrazgat-Baslanti (CoRR, 2023)

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. - Yuanfang Ren; Yanjun Li 005; Tyler J. Loftus; Jeremy A. Balch; Kenneth L. Abbott; Shounak Datta; Matthew M. Ruppert; Ziyuan Guan; Benjamin Shickel; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2023)

Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study. - Esra Adiyeke; Yuanfang Ren; Benjamin Shickel; Matthew M. Ruppert; Ziyuan Guan; Sandra L. Kane-Gill; Raghavan Murugan; Nabihah Amatullah; Britney A. Stottlemyer; Tiffany L. Tran; Dan Ricketts; Christopher M. Horvat; et al. (CoRR, 2024)

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning. - Esra Adiyeke; Tianqi Liu; Venkata Sai Dheeraj Naganaboina; Han Li; Tyler J. Loftus; Yuanfang Ren; Benjamin Shickel; Matthew M. Ruppert; Karandeep Singh; Ruogu Fang; Parisa Rashidi; Azra Bihorac; et al. (CoRR, 2025)