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Related papers: Continuous Non-Invasive Eye Tracking In Intensive …

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Despite the importance of closely monitoring patients in the Intensive Care Unit (ICU), many aspects are still assessed in a limited manner due to the time constraints imposed on healthcare providers. For example, although excessive…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Scott Siegel , Jiaqing Zhang , Sabyasachi Bandyopadhyay , Subhash Nerella , Brandon Silva , Tezcan Baslanti , Azra Bihorac , Parisa Rashidi

The intensive care unit (ICU) is a specialized hospital space where critically ill patients receive intensive care and monitoring. Comprehensive monitoring is imperative in assessing patients conditions, in particular acuity, and ultimately…

Artificial Intelligence · Computer Science 2024-11-25 Subhash Nerella , Ziyuan Guan , Scott Siegel , Jiaqing Zhang , Ruilin Zhu , Kia Khezeli , Azra Bihorac , Parisa Rashidi

Purpose: Summarize ICU delirium prediction models published within the past five years. Methods: Electronic searches were conducted in April 2019 using PubMed, Embase, Cochrane Central, Web of Science, and CINAHL to identify peer reviewed…

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 addition, many essential information on patients and their…

This study reports the findings of qualitative interview sessions conducted with ICU clinicians for the co-design of a system user interface of an artificial intelligence (AI)-driven clinical decision support (CDS) system. This system…

Human-Computer Interaction · Computer Science 2025-03-13 Andrea E. Davidson , Jessica M. Ray , Ayush K. Patel , Yulia Strekalova Levites , Parisa Rashidi , Azra Bihorac

Delirium is an acute confusional state that has been shown to affect up to 31% of patients in the intensive care unit (ICU). Early detection of this condition could lead to more timely interventions and improved health outcomes. While…

Existing Intensive Care Unit (ICU) delirium prediction models do not consider environmental factors despite strong evidence of their influence on delirium. This study reports the first deep-learning based delirium prediction model for ICU…

Purpose. We present a new method to evaluate the accuracy of an eye tracker based eye localization system. Measuring the accuracy of an eye tracker's primary intention, the estimated point of gaze, is usually done with volunteers and a set…

Human-Computer Interaction · Computer Science 2017-05-23 Stephan Wyder , Philippe C. Cattin

Parkinson's disease ranks as the second most prevalent neurodegenerative disorder globally. This research aims to develop a system leveraging Mixed Reality capabilities for tracking and assessing eye movements. In this paper, we present a…

Human-Computer Interaction · Computer Science 2024-06-04 Mateusz Daniol , Daria Hemmerling , Jakub Sikora , Pawel Jemiolo , Marek Wodzinski , Magdalena Wojcik-Pedziwiatr

Acute brain dysfunction (ABD) is a common, severe ICU complication, presenting as delirium or coma and leading to prolonged stays, increased mortality, and cognitive decline. Traditional screening tools like the Glasgow Coma Scale (GCS),…

Delirium is a common acute onset brain dysfunction in the emergency setting and is associated with higher mortality. It is difficult to detect and monitor since its presentations and risk factors can be different depending on the underlying…

Machine Learning · Computer Science 2021-11-02 Yiqing Zhao , Yuan Luo

Gaze tracking is an important technology as the system can give information about a person from what and where the person is seeing. There have been many attempts to make robust and accurate gaze trackers using either monitor or wearable…

Human-Computer Interaction · Computer Science 2017-08-04 Eunji Chong , Christian Nitschke , Atsushi Nakazawa , Agata Rozga , James M. Rehg

Delirium occurs in about 80% cases in the Intensive Care Unit (ICU) and is associated with a longer hospital stay, increased mortality and other related issues. Delirium does not have any biomarker-based diagnosis and is commonly treated…

Machine Learning · Computer Science 2022-05-03 Riddhiman Adib , Md Osman Gani , Sheikh Iqbal Ahamed , Mohammad Adibuzzaman

Clinical observations indicate that during critical care at the hospitals, patients sleep positioning and motion affect recovery. Unfortunately, there is no formal medical protocol to record, quantify, and analyze patient motion. There is a…

Computer Vision and Pattern Recognition · Computer Science 2017-06-30 Carlos Torres , Kenneth Rose , Jeffrey C. Fried , B. S. Manjunath

One in twenty-five patients admitted to a hospital will suffer from a hospital acquired infection. If we can intelligently track healthcare staff, patients, and visitors, we can better understand the sources of such infections. We envision…

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 limited due to time constraints and the workload on healthcare…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Subhash Nerella , Ziyuan Guan , Andrea Davidson , Yuanfang Ren , Tezcan Baslanti , Brooke Armfield , Patrick Tighe , Azra Bihorac , Parisa Rashidi

Patients in the intensive care unit (ICU) require constant and close supervision. To assist clinical staff in this task, hospitals use monitoring systems that trigger audiovisual alarms if their algorithms indicate that a patient's…

Machine Learning · Computer Science 2020-07-15 Patrick Schwab , Emanuela Keller , Carl Muroi , David J. Mack , Christian Strässle , Walter Karlen

Eye-gaze tracking research offers significant promise in enhancing various healthcare-related tasks, above all in medical image analysis and interpretation. Eye tracking, a technology that monitors and records the movement of the eyes,…

Image and Video Processing · Electrical Eng. & Systems 2024-03-13 Sahar Moradizeyveh , Mehnaz Tabassum , Sidong Liu , Robert Ahadizad Newport , Amin Beheshti , Antonio Di Ieva

From scientific research to commercial applications, eye tracking is an important tool across many domains. Despite its range of applications, eye tracking has yet to become a pervasive technology. We believe that we can put the power of…

Computer Vision and Pattern Recognition · Computer Science 2016-06-21 Kyle Krafka , Aditya Khosla , Petr Kellnhofer , Harini Kannan , Suchendra Bhandarkar , Wojciech Matusik , Antonio Torralba

Background: Circadian desynchrony characterized by the misalignment between an individual's internal biological rhythms and external environmental cues, significantly affects various physiological processes and health outcomes. Quantifying…

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