AIMC Topic: Workload
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Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs.
IEEE/ACM transactions on computational biology and bioinformatics
May 3, 2016
The identification of the temporal variations in human operator cognitive task-load (CTL) is crucial for preventing possible accidents in human-machine collaborative systems. Recent literature has shown that the change of discrete CTL level during hu...
Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.
International journal of radiation oncology, biology, physics
Feb 12, 2016
PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal dose and improve treatment outcome. However, plan quality and planning time are institute and planner dependent, and no standardized tool exists to rec...
Training and testing ERP-BCIs under different mental workload conditions.
Journal of neural engineering
Dec 10, 2015
OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjec...
Event-Related Potentials, P300
Communication Devices for People with Disabilities
Word Processing
Adult
Sensitivity and Specificity
Male
Cognition
Electroencephalography
Workload
Pattern Recognition, Automated
Brain-Computer Interfaces
Task Performance and Analysis
Machine Learning
Female
Reproducibility of Results
Young Adult
Humans
Real-time prediction of inpatient length of stay for discharge prioritization.
Journal of the American Medical Informatics Association : JAMIA
Aug 7, 2015
OBJECTIVE: Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity managemen...
Understanding Cognitive Performance During Robot-Assisted Surgery.
Urology
Aug 5, 2015
OBJECTIVE: To understand cognitive function of an expert surgeon in various surgical scenarios while performing robot-assisted surgery.
Predicting workload profiles of brain-robot interface and electromygraphic neurofeedback with cortical resting-state networks: personal trait or task-specific challenge?
Journal of neural engineering
Jul 14, 2015
OBJECTIVE: Novel rehabilitation strategies apply robot-assisted exercises and neurofeedback tasks to facilitate intensive motor training. We aimed to disentangle task-specific and subject-related contributions to the perceived workload of these inter...
Comparison of postural ergonomics between laparoscopic and robotic sacrocolpopexy: a pilot study.
Journal of minimally invasive gynecology
Oct 12, 2014
STUDY OBJECTIVE: To compare resident, fellow, and attending urologic and gynecologic surgeons' musculoskeletal and mental strain during laparoscopic and robotic sacrocolpopexy.
Toward a tactile language for human-robot interaction: two studies of tacton learning and performance.
Human factors
Aug 28, 2014
OBJECTIVE: Two experiments were performed to investigate the feasibility for robot-to-human communication of a tactile language using a lexicon of standardized tactons (tactile icons) within a sentence.
Ambient Listening in Clinical Practice: Evaluating EPIC Signal Data Before and After Implementation and Its Impact on Physician Workload.
Studies in health technology and informatics
Aug 7, 2025
The widespread adoption of EHRs following the HITECH Act has increased the clinician documentation burden, contributing to burnout. Emerging technologies, such as ambient listening tools powered by generative AI, offer real-time, scribe-like document...
Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views.
Annals of family medicine
May 27, 2025
PURPOSE: Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients...
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