1.7k citations · 1.7k across the 11 of their papers we have counts for
13 papers
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status
Subhash Nerella, Ziyuan Guan, Andrea Davidson +6
Intensive Care Units (ICU) provide close supervision and continuous care to patients with life-threatening conditions. However, continuous patient assessment in the ICU is still li…
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units
Subhash Nerella, Kia Khezeli, Andrea Davidson +3
Pain is a common occurrence among patients admitted to Intensive Care Units. Pain assessment in ICU patients still remains a challenge for clinicians and ICU staff, specifically in…
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture
Mizuki Miyatake, Subhash Nerella, David Simpson +4
Automated object recognition in medical images can facilitate medical diagnosis and treatment. In this paper, we automatically segmented supraclavicular nerves in ultrasound images…
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
Benjamin Shickel, Patrick J. Tighe, Azra Bihorac +1
Recent deep learning research based on Transformer model architectures has demonstrated state-of-the-art performance across a variety of domains and tasks, mostly within the comput…
Posture Recognition in the Critical Care Settings using Wearable Devices
Anis Davoudi, Patrick J. Tighe, Azra Bihorac +1
Low physical activity levels in the intensive care units (ICU) patients have been linked to adverse clinical outcomes. Therefore, there is a need for continuous and objective measu…
Analysis of Intra-Operative Physiological Responses Through Complex Higher-Order SVD for Long-Term Post-Operative Pain Prediction
Raheleh Baharloo, Jose C. Principe, Parisa Rashidi +1
Long-term pain conditions after surgery and patients' responses to pain relief medications are not yet fully understood. While recent studies developed an index for nociception lev…
Facial Action Unit Detection on ICU Data for Pain Assessment
Subhash Nerella, Azra Bihorac, Patrick Tighe +1
Current day pain assessment methods rely on patient self-report or by an observer like the Intensive Care Unit (ICU) nurses. Patient self-report is subjective to the individual and…
Pain and Physical Activity Association in Critically Ill Patients
Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe +2
Critical care patients experience varying levels of pain during their stay in the intensive care unit, often requiring administration of analgesics and sedation. Such medications g…
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients
Florenc Demrozi, Graziano Pravadelli, Patrick J Tighe +2
Pain and physical function are both essential indices of recovery in critically ill patients in the Intensive Care Units (ICU). Simultaneous monitoring of pain intensity and patien…
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang +1
We analyzed the relation between surgical service providers' network structure and surgical team size with patient outcome during the operation. We did correlation analysis to eval…
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring
Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel +8
Currently, many critical care indices are repetitively assessed and recorded by overburdened nurses, e.g. physical function or facial pain expressions of nonverbal patients. In add…
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?
Ashkan Ebadi, Patrick J. Tighe, Lei Zheng +1
We examined the structure of intra- and postoperative case-collaboration networks among the surgical service providers in a quaternary-care academic medical center, using retrospec…
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
Benjamin Shickel, Patrick Tighe, Azra Bihorac +1
The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHR). While primarily designed for archiving patient clinical inform…