AIMC Topic: Workload
Clear Filters Showing 111 to 120 of 162 articles
Approximate dynamic programming approaches for appointment scheduling with patient preferences.
Artificial intelligence in medicine
Feb 23, 2018
During the appointment booking process in out-patient departments, the level of patient satisfaction can be affected by whether or not their preferences can be met, including the choice of physicians and preferred time slot. In addition, because the ...
Enhancing the effectiveness of human-robot teaming with a closed-loop system.
Applied ergonomics
Oct 3, 2017
With technological developments in robotics and their increasing deployment, human-robot teams are set to be a mainstay in the future. To develop robots that possess teaming capabilities, such as being able to communicate implicitly, the present stud...
Human interaction with robotic systems: performance and workload evaluations.
Ergonomics
Jul 26, 2017
We first tested the effect of differing tactile informational forms (i.e. directional cues vs. static cues vs. dynamic cues) on objective performance and perceived workload in a collaborative human-robot task. A second experiment evaluated the influe...
Improving Teamwork: Evaluating Workload of Surgical Team During Robot-assisted Surgery.
Urology
Jun 1, 2017
OBJECTIVE: To investigate the cognitive and physical workload experienced by each operating room team member for different types of urologic procedures.
HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer.
Applied ergonomics
Mar 22, 2017
Teleoperation of an agricultural robotic system requires effective and efficient human-robot interaction. This paper investigates the usability of different interaction modes for agricultural robot teleoperation. Specifically, we examined the overall...
Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Feb 16, 2017
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this...
Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.
AJR. American journal of roentgenology
Jan 31, 2017
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices.
Reproducibility of Results
Sensitivity and Specificity
Support Vector Machine
Magnetic Resonance Imaging
Natural Language Processing
Workload
Data Mining
Academic Medical Centers
Pattern Recognition, Automated
Humans
Machine Learning
Radiology Department, Hospital
Image Enhancement
Knee
California
Radiology Information Systems
North Carolina
Impact of three task demand factors on simulated unmanned system intelligence, surveillance, and reconnaissance operations.
Ergonomics
Aug 24, 2016
The present study investigated how three task demand factors influenced performance, subjective workload and stress of novice intelligence, surveillance, and reconnaissance operators within a simulation of an unmanned ground vehicle. Manipulations we...
Comparison of three different techniques for camera and motion control of a teleoperated robot.
Applied ergonomics
May 12, 2016
This research aims to evaluate new methods for robot motion control and camera orientation control through the operator's head orientation in robot teleoperation tasks. Specifically, the use of head-tracking in a non-invasive way, without immersive v...
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...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31032
- Neural Networks, Computer 29717
- Algorithms 26831
- Deep Learning 26345
- Artificial Intelligence 24290
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9110
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4770
- Support Vector Machine 4686
- Computational Biology 4236
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5940
- Sensors (Basel, Switzerland) 4794
- PloS one 4015
- Neural networks : the official journal of the International Neural Network Society 2929
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1854
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1130
- Journal of chemical information and modeling 998
- Nature communications 943
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826