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)

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)

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)

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)

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)

Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes. - Sabyasachi Bandyopadhyay; Jiaqing Zhang; Ronald L. Ison; David J. Libon; Patrick James Tighe; Catherine C. Price; 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)

ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring. - Rayan Ansari; John Cao; Sabyasachi Bandyopadhyay; Sanjiv M. Narayan; Albert J. Rogers; Mert Pilanci (ICASSP, 2025)

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. - Albert J. Rogers; Neal K. Bhatia; Sabyasachi Bandyopadhyay; James E. Tooley; Rayan Ansari; Vyom Thakkar; Justin Xu; Jessica Torres Soto; Jagteshwar S. Tung; Mahmood I. Alhusseini; Paul Clopton; Reza Sameni; et al. (npj Digit. Medicine, 2025)