The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU)

no code implementations • 3 Nov 2023 • Jessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Ren Yuanfang, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler Loftus, William Robson Schwartz, Azra Bihorac, Parisa Rashidi

In this study, we evaluated the impact of integrating mobility data collected from wrist-worn accelerometers with clinical data obtained from EHR for developing an AI-driven acuity assessment score.

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status

no code implementations • 1 Nov 2023 • Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick Tighe, Azra Bihorac, Parisa Rashidi

We leveraged our AU-ICU dataset with 107, 064 frames collected in the ICU annotated with facial action units (AUs) labels by trained annotators.

Predicting risk of delirium from ambient noise and light information in the ICU

no code implementations • 11 Mar 2023 • Sabyasachi Bandyopadhyay, Ahna Cecil, Jessica Sena, Andrea Davidson, Ziyuan Guan, Subhash Nerella, Jiaqing Zhang, Kia Khezeli, Brooke Armfield, Azra Bihorac, Parisa Rashidi

This study shows that ambient light and noise intensities are strong predictors of long-term delirium incidence in the ICU.

Specificity

End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units

no code implementations • 12 Nov 2022 • Subhash Nerella, Kia Khezeli, Andrea Davidson, Patrick Tighe, Azra Bihorac, Parisa Rashidi

In this work, we evaluated two vision transformer models, namely ViT and SWIN, for AU detection on our Pain-ICU dataset and also external datasets.