AIMC Topic: Nurses

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Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study.

Journal of nursing management May 15, 2023
BACKGROUND: Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms amon...
Female Adult Cross-Sectional Studies Humans Machine Learning Prevalence China Depression Male Middle Aged Psychometrics Surveys and Questionnaires Nurses
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Visual classification of pressure injury stages for nurses: A deep learning model applying modern convolutional neural networks.

Journal of advanced nursing Feb 8, 2023
AIMS: To develop a deep learning model for pressure injury stages classification based on real-world photographs and compare its performance with that of clinical nurses to seek the opportunity of its application in clinical settings.
Deep Learning Nurses Pressure Ulcer Neural Networks, Computer Retrospective Studies Humans
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Nurses' perception towards care robots and their work experience with socially assistive technology during COVID-19: A qualitative study.

Geriatric nursing (New York, N.Y.) Feb 6, 2023
This study aimed to explore nurses' perceptions towards care robots and their work experiences in caring for older adults who use socially assistive technology. This qualitative descriptive study included 18 nurses who cared for older adults with dem...
Robotics Perception Self-Help Devices Nurses Dementia COVID-19 Aged Humans
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[Operating room nurses and the surgical robot, turning a competitor into an ally].

Soins; la revue de reference infirmiere Jan 31, 2023
The ambivalence of the professional identity of the State Certified Operating Room Nurse (SCNO) is due to the difficulty of building a non-surgical technicality. Therefore, the participation of ORNs in robotic developments seems to be a way of emanci...
Robotics Operating Rooms Humans Nurses
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Changing the Perceived Views of Student Nurses Concerning Healthcare Robots: A Video Intervention Approach.

Computers, informatics, nursing : CIN Dec 1, 2022
Humans Nurses Attitude of Health Personnel Robotics Students, Nursing
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Nurses' attitudes toward the use of robots in healthcare.

Nursing open Nov 23, 2022
Attitude of Health Personnel Robotics Health Facilities Humans Nurses
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How robots impact nurses' time pressure and turnover intention: A two-wave study.

Journal of nursing management Aug 10, 2022
AIMS: To examine the relationships among effort ensuring robots' smooth operation (EERSO), time pressure, missed care, and nurses' turnover intention, and how robot performance moderates such relations.
Humans Robotics Intention Nurses Nursing Staff, Hospital Workplace Personnel Turnover Job Satisfaction Cross-Sectional Studies Attitude of Health Personnel Surveys and Questionnaires
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Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features.

Nursing open Jun 27, 2022
AIM: Due to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characte...
Cross-Sectional Studies Nurses Robotics Clinical Competence Humans COVID-19
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Task-sharing with artificial intelligence: a design hypothesis for an Emergency Unit in sub-Saharan Africa.

The Pan African medical journal Apr 20, 2021
In sub-Saharan Africa, there is a significant unmet need for emergency care, with a shortage of trained providers. One model to increase the number of providers is to task-share: roles traditionally filled by clinicians are shared with lay workers wh...
Africa South of the Sahara Emergency Service, Hospital Patient Care Humans Physicians Artificial Intelligence Delivery of Health Care Health Personnel Nurses
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Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey.

World neurosurgery Nov 25, 2020
BACKGROUND: Artificial intelligence (AI) has the potential to disrupt how we diagnose and treat patients. Previous work by our group has demonstrated that the majority of patients and their relatives feel comfortable with the application of AI to aug...
Neurosurgeons Female Male Operating Room Technicians Humans Nurses Neurosurgery Adult Qualitative Research Middle Aged Attitude of Health Personnel Artificial Intelligence Cross-Sectional Studies Anesthesiologists
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