Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Alberto C. Bursian; Azra Bihorac; Parisa Rashidi (BIBE, 2017)

Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment. - Zheng Feng; Rajendra Rana Bhat; Xiaoyong Yuan; Daniel Freeman; Tezcan Baslanti; Azra Bihorac; Xiaolin Li 001 (DASC/PiCom/DataCom/CyberSciTech, 2017)

D.R.E.A.M.S. (Digital Rehabilitation Environment-Altering Medical System). - Marko Suvajdzic; Azra Bihorac; Parisa Rashidi (SeGAH, 2017)

Activity and circadian rhythm of sepsis patients in the Intensive Care Unit. - Anis Davoudi; Duane B. Corbett; Tezcan Ozrazgat-Baslanti; Azra Bihorac; Scott C. Brakenridge; Todd M. Manini; Parisa Rashidi (BHI, 2018)

Autonomous Detection of Disruptions in the Intensive Care Unit Using Deep Mask R-CNN. - Kumar Rohit Malhotra; Anis Davoudi; Scott Siegel; Azra Bihorac; Parisa Rashidi (CVPR Workshops, 2018)

Comparison of Gaussian Processes Methods to Linear methods for Imputation of Sparse Physiological Time Series. - Paul Nickerson; Raheleh Baharloo; Anis Davoudi; Azra Bihorac; Parisa Rashidi (EMBC, 2018)

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)

Comparing Clinical Judgment with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study. - Meghan Brennan; Sahil Puri; Tezcan Ozrazgat-Baslanti; Rajendra Rana Bhat; Zheng Feng; Petar Momcilovic; Xiaolin Li 001; Daisy Zhe Wang; Azra Bihorac (CoRR, 2018)

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)

Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. - Lasith Adhikari; Tezcan Ozrazgat-Baslanti; Paul Thottakkara; Ashkan Ebadi; Amir Motaei; Parisa Rashidi; Xiaolin Li 001; Azra Bihorac (CoRR, 2018)

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. - Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (IEEE J. Biomed. Health Informatics, 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)

Extended vertical lists for temporal pattern mining from multivariate time series. - Anton Kocheturov; Petar Momcilovic; Azra Bihorac; Panos M. Pardalos (Expert Syst. J. Knowl. Eng., 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)

Pain and Physical Activity Association in Critically Ill Patients*. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. - Florenc Demrozi; Graziano Pravadelli; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Automated Detection of Rest Disruptions in Critically Ill Patients. - Vasundhra Iyengar; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. - Florenc Demrozi; Graziano Pravadelli; Azra Bihorac; Parisa Rashidi (IEEE Access, 2020)

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)

Pain and Physical Activity Association in Critically Ill Patients. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2020)

Facial Action Unit Detection on ICU Data for Pain Assessment. - Subhash Nerella; Azra Bihorac; Patrick James Tighe; Parisa Rashidi (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)

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

Posture Recognition in the Critical Care Settings using Wearable Devices. - Anis Davoudi; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2021)

Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. - Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 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)

End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units. - Subhash Nerella; Kia Khezeli; Andrea Davidson; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2022)

Frequent pattern mining from multivariate time series data. - Meserret Karaca; Michelle M. Alvarado; Mostafa Reisi Gahrooei; Azra Bihorac; Panos M. Pardalos (Expert Syst. Appl., 2022)

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. - Anis Davoudi; Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (Frontiers Digit. Health, 2022)

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)

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. - Benjamin Shickel; Brandon Silva; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Kia Khezeli; Ziyuan Guan; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (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)

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records. - Miguel Contreras; Brandon Silva; Benjamin Shickel; Sabyasachi Bandyopadhyay; Ziyuan Guan; Yuanfang Ren; Tezcan Ozrazgat-Baslanti; Kia Khezeli; Azra Bihorac; Parisa Rashidi (BHI, 2023)

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data. - Jessica Sena; Sabyasachi Bandyopadhyay; Mohammad Tahsin Mostafiz; Andrea Davidson; Ziyuan Guan; Jesimon Barreto; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; William Robson Schwartz; Parisa Rashidi (BIBM, 2023)

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)

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)

AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing. - Subhash Nerella; Ziyuan Guan; Scott Siegel; Jiaqing Zhang; Kia Khezeli; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Predicting risk of delirium from ambient noise and light information in the ICU. - Sabyasachi Bandyopadhyay; Ahna Cecil; Jessica Sena; Andrea Davidson; Ziyuan Guan; Subhash Nerella; Jiaqing Zhang; Kia Khezeli; Brooke Armfield; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Transformer Models for Acute Brain Dysfunction Prediction. - Brandon Silva; Miguel Contreras; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Ziyuan Guan; Kia Khezeli; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Transformers in Healthcare: A Survey. - Subhash Nerella; Sabyasachi Bandyopadhyay; Jiaqing Zhang; Miguel Contreras; Scott Siegel; Aysegul Bumin; Brandon Silva; Jessica Sena; Benjamin Shickel; Azra Bihorac; Kia Khezeli; Parisa Rashidi (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)

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. - Subhash Nerella; Ziyuan Guan; Andrea Davidson; Yuanfang Ren; Tezcan Baslanti; Brooke Armfield; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies. - Miguel Contreras; Brandon Silva; Benjamin Shickel; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Ziyuan Guan; Sabyasachi Bandyopadhyay; Kia Khezeli; Azra Bihorac; Parisa Rashidi (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)

Transformers and large language models in healthcare: A review. - Subhash Nerella; Sabyasachi Bandyopadhyay; Jiaqing Zhang; Miguel Contreras; Scott Siegel; Aysegul Bumin; Brandon Silva; Jessica Sena; Benjamin Shickel; Azra Bihorac; Kia Khezeli; Parisa Rashidi (Artif. Intell. Medicine, 2024)

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)

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)

Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility. - Scott Siegel; Jiaqing Zhang; Sabyasachi Bandyopadhyay; Subhash Nerella; Brandon Silva; Tezcan Baslanti; Azra Bihorac; Parisa Rashidi (CoRR, 2024)

A multi-cohort study on prediction of acute brain dysfunction states using selective state space models. - Brandon Silva; Miguel Contreras; Sabyasachi Bandyopadhyay; Yuanfang Ren; Ziyuan Guan; Jeremy A. Balch; Kia Khezeli; Tezcan Ozrazgat-Baslanti; Benjamin Shickel; Azra Bihorac; Parisa Rashidi (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)

DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR. - Miguel Contreras; Sumit Kapoor; Jiaqing Zhang; Andrea Davidson; Yuanfang Ren; Ziyuan Guan; Tezcan Ozrazgat-Baslanti; Subhash Nerella; Azra Bihorac; Parisa Rashidi (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)

Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium. - Yuanfang Ren; Andrea Davidson; Jiaqing Zhang; Miguel Contreras; Ayush Patela; Michelle Gumz; Tezcan Ozrazgat-Baslanti; Parisa Rashidi; Azra Bihorac (CoRR, 2025)

An Iterative, User-Centered Design of a Clinical Decision Support System for Critical Care Assessments: Co-Design Sessions with ICU Clinical Providers. - Andrea Davidson; Jessica M. Ray; Ayush Patela; Yulia Strekalova Levites; Parisa Rashidi; Azra Bihorac (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)

Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool. - Zhenhong Hu; Esra Adiyeke; Ziyuan Guan; Divya Vellanki; Jiahang Yu; Ruilin Zhu; Yuanfang Ren; Yingbo Ma; Annanya Sai Vedala; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2025)

Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance. - Andrea Davidson; Jessica M. Ray; Yulia Strekalova Levites; Parisa Rashidi; Azra Bihorac (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)

Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust. - Yuanfang Ren; Esra Adiyeke; Ziyuan Guan; Zhenhong Hu; Mackenzie J. Meni; Benjamin Shickel; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2025)