Deep neural network architectures for forecasting analgesic response. - Paul Nickerson; Patrick James Tighe; Benjamin Shickel; Parisa Rashidi (EMBC, 2016)

ART: An Availability-Aware Active Learning Framework for Data Streams. - Benjamin Shickel; Parisa Rashidi (FLAIRS, 2016)

Self-Reflective Sentiment Analysis. - Benjamin Shickel; Martin Heesacker; Sherry Benton; Ashkan Ebadi; Paul Nickerson; Parisa Rashidi (CLPsych@HLT-NAACL, 2016)

Automatic Triage of Mental Health Forum Posts. - Benjamin Shickel; Parisa Rashidi (CLPsych@HLT-NAACL, 2016)

Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning. - Benjamin Shickel; Martin Heesacker; Sherry Benton; Parisa Rashidi (CoRR, 2017)

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)

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)

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)

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)

Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. - Benjamin Shickel; Martin Heesacker; Sherry Benton; Parisa Rashidi (BIBE, 2020)

Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. - Benjamin Shickel; Scott Siegel; Martin Heesacker; Sherry Benton; Parisa Rashidi (BIBE, 2020)

Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data. - Benjamin Shickel; Parisa Rashidi (CoRR, 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)

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)

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)

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)

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)

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)

Spatially aware transformer networks for contextual prediction of diabetic nephropathy progression from whole slide images. - Benjamin Shickel; Nicholas J. Lucarelli; Adish Rao; Donghwan Yun; Kyung Chul Moon; Seung Seok Han; Pinaki Sarder (Digital and Computational Pathology, 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)

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)

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)

CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention. - Muhammad Imran 013; Jonathan R. Krebs; Veera Rajasekhar Reddy Gopu; Brian Fazzone; Vishal Balaji Sivaraman; Amarjeet Kumar; Chelsea Viscardi; Robert Evans Heithaus; Benjamin Shickel; Yuyin Zhou; Michol A. Cooper; Wei Shao 008 (Comput. Medical Imaging Graph., 2024)

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. - Darren Liu; Cheng Ding; Delgersuren Bold; Monique Bouvier; Jiaying Lu 001; Benjamin Shickel; Craig S. Jabaley; Wenhui Zhang; Soojin Park; Michael J. Young; Mark S. Wainwright; Gilles Clermont; et al. (CoRR, 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)

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)

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)

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)

Uncertainty-Aware Prediction of Parkinson's Disease Medication Needs: A Two-Stage Conformal Prediction Approach. - Ricardo Diaz-Rincon; Muxuan Liang; Adolfo Ramirez-Zamora; Benjamin Shickel (CoRR, 2025)