AIMC Topic: Workload
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Performance metrics outperform physiological indicators in robotic teleoperation workload assessment.
Scientific reports
Dec 28, 2024
Robotics holds the potential to streamline the execution of repetitive and dangerous tasks, which are difficult or impossible for a human operator. However, in complex scenarios, such as nuclear waste management or disaster response, full automation ...
Development and Validation of a Literature Screening Tool: Few-Shot Learning Approach in Systematic Reviews.
Journal of medical Internet research
Dec 11, 2024
BACKGROUND: Systematic reviews (SRs) are considered the highest level of evidence, but their rigorous literature screening process can be time-consuming and resource-intensive. This is particularly challenging given the rapid pace of medical advancem...
Learning performance and physiological feedback-based evaluation for human-robot collaboration.
Applied ergonomics
Nov 28, 2024
The development of Industry 4.0 has resulted in tremendous transformations in the manufacturing sector to supplement the human workforce through collaboration with robots. This emphasis on a human-centered approach is a vital aspect in promoting resi...
Self-Supervised Learning for Near-Wild Cognitive Workload Estimation.
Journal of medical systems
Nov 22, 2024
Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-based models can produce feedback from physiological data such as electroencephalography (EEG) and electrocardiography (ECG). Supervised machine learning requires la...
Artificial Intelligence and Radiologist Burnout.
JAMA network open
Nov 4, 2024
IMPORTANCE: Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment between physicians and AI.
Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Oct 15, 2024
BACKGROUND: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative technicalities and the environmental demands of the operating theatre. This can result in poorer outcomes and have a detri...
Detection of Pilots' Psychological Workload during Turning Phases Using EEG Characteristics.
Sensors (Basel, Switzerland)
Aug 10, 2024
Pilot behavior is crucial for aviation safety. This study aims to investigate the EEG characteristics of pilots, refine training assessment methodologies, and bolster flight safety measures. The collected EEG signals underwent initial preprocessing. ...
[Relationship between certain uses of artificial intelligence and psychosocial risk factors in European work environments].
Archivos de prevencion de riesgos laborales
Jul 15, 2024
INTRODUCTION: To examine the relationship between the use of Artificial Intelligence (AI) to assess and monitor job performance and exposure to psychosocial risk factors, as well as associated adverse health effects in the European work environment.
Nursing workload: use of artificial intelligence to develop a classifier model.
Revista latino-americana de enfermagem
Jul 5, 2024
OBJECTIVE: to describe the development of a predictive nursing workload classifier model, using artificial intelligence.
Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images.
Radiography (London, England : 1995)
Jun 24, 2024
PURPOSE: Artificial intelligence (AI) in positron emission tomography/computed tomography (PET/CT) can be used to improve image quality when it is useful to reduce the injected activity or the acquisition time. Particular attention must be paid to en...
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