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Found 8 papers, 0 papers with code
Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility
Likewise, while mobility can be an important indicator of recovery or deterioration in ICU patients, it is only captured sporadically or not captured at all.
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status
We leveraged our AU-ICU dataset with 107, 064 frames collected in the ICU annotated with facial action units (AUs) labels by trained annotators.
Transformers in Healthcare: A Survey
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including healthcare, the adoption of the Transformers neural network architecture is rapidly changing many applications.
Predicting risk of delirium from ambient noise and light information in the ICU
This study shows that ambient light and noise intensities are strong predictors of long-term delirium incidence in the ICU.
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
However, the extent of patient monitoring in the ICU is limited due to time constraints and the workload on healthcare providers.
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units
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.
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture
However, Ultrasound Guided Regional Anesthesia (UGRA) requires anesthesiologists to visually recognize the actual nerve position in the ultrasound images.
Facial Action Unit Detection on ICU Data for Pain Assessment
Previous studies showed the feasibility of automatic pain assessment by detecting Facial Action Units (AUs).
