DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. - Benjamin Shickel; Tyler J. Loftus; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Azra Bihorac; Parisa Rashidi (CoRR, 2018)

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)

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery. - Tyler J. Loftus; Gilbert R. Upchurch Jr.; Daniel Delitto; Parisa Rashidi; Azra Bihorac (Frontiers Artif. Intell., 2019)

Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. - Benjamin Shickel; Tyler J. Loftus; Shounak Datta; Tezcan Ozrazgat-Baslanti; Azra Bihorac; Parisa Rashidi (CoRR, 2020)

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)

Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. - Yuanfang Ren; Tyler J. Loftus; Rahul Sai Kasula; Prudhvee Narasimha Sadha; Parisa Rashidi; Azra Bihorac; Tezcan Ozrazgat-Baslanti (CoRR, 2020)

Editorial: Machine Learning in Clinical Decision-Making. - Amanda C. Filiberto; Ira L. Leeds; Tyler J. Loftus (Frontiers Digit. Health, 2021)

Personalized decision-making for acute cholecystitis: Understanding surgeon judgment. - Amanda C. Filiberto; Philip A. Efron; Amanda Frantz; Azra Bihorac; Gilbert R. Upchurch Jr.; Tyler J. Loftus (Frontiers Digit. Health, 2022)

Phenotype clustering in health care: A narrative review for clinicians. - Tyler J. Loftus; Benjamin Shickel; Jeremy A. Balch; Patrick James Tighe; Kenneth L. Abbott; Brian Fazzone; Erik M. Anderson; Jared Rozowsky; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Scott A. Berceli; William R. Hogan; et al. (Frontiers Artif. Intell., 2022)

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. - Le Peng; Gaoxiang Luo; Andrew Walker; Zachary Zaiman; Emma K. Jones; Hemant Gupta; Kristopher Kersten; John L. Burns; Christopher A. Harle; Tanja Magoc; Benjamin Shickel; Scott D. Steenburg; et al. (J. Am. Medical Informatics Assoc., 2022)

Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. - Yuanfang Ren; Tyler J. Loftus; Ziyuan Guan; Rayon Uddin; Benjamin Shickel; Carolina B. Maciel; Katharina Busl; 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)

The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU). - Jessica Sena; Mohammad Tahsin Mostafiz; Jiaqing Zhang; Andrea Davidson; Sabyasachi Bandyopadhyay; Yuanfang Ren; Tezcan Ozrazgat-Baslanti; Benjamin Shickel; Tyler J. Loftus; William Robson Schwartz; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Commentary: Machine learning in clinical decision-making. - Amanda C. Filiberto; Daniel A. Donoho; Ira L. Leeds; Tyler J. Loftus (Frontiers Digit. Health, 2023)

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. - Yingbo Ma; Suraj Kolla; Dhruv Kaliraman; Victoria Nolan; Zhenhong Hu; Ziyuan Guan; Yuanfang Ren; Brooke Armfield; Tezcan Ozrazgat-Baslanti; Tyler J. Loftus; Parisa Rashidi; Azra Bihorac; et al. (CoRR, 2024)

Federated learning model for predicting major postoperative complications. - Yonggi Park; Yuanfang Ren; Benjamin Shickel; Ziyuan Guan; Ayush Patela; Yingbo Ma; Zhenhong Hu; Tyler J. Loftus; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2024)

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision. - Yingbo Ma; Suraj Kolla; Zhenhong Hu; Dhruv Kaliraman; Victoria Nolan; Ziyuan Guan; Yuanfang Ren; Brooke Armfield; Tezcan Ozrazgat-Baslanti; Jeremy A. Balch; Tyler J. Loftus; Parisa Rashidi; et al. (CoRR, 2024)

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications. - Yuanfang Ren; Chirayu Tripathi; Ziyuan Guan; Ruilin Zhu; Victoria Hougha; Yingbo Ma; Zhenhong Hu; Jeremy A. Balch; Tyler J. Loftus; Parisa Rashidi; Benjamin Shickel; Tezcan Ozrazgat-Baslanti; et al. (CoRR, 2024)

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools. - Yingbo Ma; Yukyeong Song; Jeremy A. Balch; Yuanfang Ren; Divya Vellanki; Zhenhong Hu; Meghan Brennan; Suraj Kolla; Ziyuan Guan; Brooke Armfield; Tezcan Ozrazgat-Baslanti; Parisa Rashidi; et al. (CoRR, 2024)

MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes. - Jiaqing Zhang; Miguel Contreras; Sabyasachi Bandyopadhyay; Andrea Davidson; Jessica Sena; Yuanfang Ren; Ziyuan Guan; Tezcan Ozrazgat-Baslanti; Tyler J. Loftus; Subhash Nerella; Azra Bihorac; Parisa Rashidi (CoRR, 2024)

Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor. - Jeremy A. Balch; A. Hayes Chatham; Philip K. W. Hong; Lauren Manganiello; Naveen Baskaran; Azra Bihorac; Benjamin Shickel; Ray E. Moseley; Tyler J. Loftus (Frontiers Artif. Intell., 2024)

MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model. - Miguel Contreras; Jessica Sena; Andrea Davidson; Jiaqing Zhang; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Ziyuan Guan; Jeremy A. Balch; Tyler J. Loftus; Subhash Nerella; Azra Bihorac; Parisa Rashidi (CoRR, 2025)

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term Mobility Estimation in Critical Care. - Jiaqing Zhang; Miguel Contreras; Jessica Sena; Andrea Davidson; Yuanfang Ren; Ziyuan Guan; Tezcan Ozrazgat-Baslanti; Tyler J. Loftus; Subhash Nerella; Azra Bihorac; Parisa Rashidi (CoRR, 2025)

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)