AIMC Topic: Workload
Clear Filters Showing 141 to 150 of 164 articles
AI-Drafted Responses to Patients Reduced Clinician Burnout.
JAMA
May 7, 2024
Imagine there is no paperwork… it's easy if you try.
The British journal of radiology
Mar 28, 2024
Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging from becoming a complete replacement for radiologists (a potential threat) to an efficient paperwork-saving time assistant (an evident strength). Nowad...
Adaptive Human-Robotic Interaction for Robotic-assisted Surgical Settings.
Military medicine
Nov 8, 2023
INTRODUCTION: Increased complexity in robotic-assisted surgical system interfaces introduces problems with human-robot collaboration that result in excessive mental workload (MWL), adversely impacting a surgeon's task performance and increasing error...
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.
Journal of breast imaging
May 22, 2023
OBJECTIVE: To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as supporting reader for the detection of breast cancer in mammography-based double reading screening practice.
Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding".
JAMA
Dec 28, 2021
Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning.
Journal of the American Medical Informatics Association : JAMIA
Jun 12, 2021
OBJECTIVE: The characteristics of clinician activities while interacting with electronic health record (EHR) systems can influence the time spent in EHRs and workload. This study aims to characterize EHR activities as tasks and define novel, data-dri...
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study.
The Lancet. Digital health
Sep 1, 2020
BACKGROUND: We examined the potential change in cancer detection when using an artificial intelligence (AI) cancer-detection software to triage certain screening examinations into a no radiologist work stream, and then after regular radiologist asses...
Visualizing Worklog Based on Human Working Activity Recognition Using Unsupervised Activity Pattern Encoding.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Wearable motion sensor-based complex activity recognition during working hours has recently been studied to evaluate and thereby improve worker productivity. In the application of this technique to practical fields, one of the biggest challenges is p...
Limited evidence of benefits of patient operated intelligent primary care triage tools: findings of a literature review.
BMJ health & care informatics
May 1, 2020
INTRODUCTION: There is consistent evidence that the workload in general practices is substantially increasing. The digitalisation of healthcare including the use of artificial intelligence has been suggested as a solution to this problem. We wanted t...
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