AIMC Topic: Surveys and Questionnaires

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Face, content, and construct validity of four, inanimate training exercises using the da Vinci ® Si surgical system configured with Single-Site ™ instrumentation.

Surgical endoscopy
BACKGROUND: Validated training exercises are essential tools for surgeons as they develop technical skills to use robot-assisted minimally invasive surgical systems. The purpose of this study was to show face, content, and construct validity of four,...

Towards a future robotic home environment: a survey.

Gerontology
PURPOSE: Demographic change has resulted in an increase of elderly people, while at the same time the number of active working people is falling. In the future, there will be less caretaking, which is necessary to support the aging population. In ord...

Measuring quality of life with fuzzy numbers: in the perspectives of reliability, validity, measurement invariance, and feasibility.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
PURPOSE: Fuzzy set theory (FST) can improve various aspects of measurement with questionnaires. However, very little is known about how to use FST to measure quality of life (QOL). The main purpose of our study was to find an appropriate fuzzy measur...

Comparison of postural ergonomics between laparoscopic and robotic sacrocolpopexy: a pilot study.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To compare resident, fellow, and attending urologic and gynecologic surgeons' musculoskeletal and mental strain during laparoscopic and robotic sacrocolpopexy.

The effect of robotic telerounding in the surgical intensive care units impact on medical education.

Journal of robotic surgery
Robotic telerounding is effective from the standpoint of patients' satisfaction and patients' care in teaching and community hospitals. However, the impact of robotic telerounding by the intensivist rounding remotely in the surgical intensive care un...

Transfer learning for visual categorization: a survey.

IEEE transactions on neural networks and learning systems
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the ...

Adaptive modelling approach for predicting causes of death: insights from verbal autopsy data in Tanzania.

International health
BACKGROUND: The World Health Organization (WHO) has approved the use of a verbal autopsy (VA), a survey-based approach to generate out-of-hospital causes of death (CoDs). Through this study, an adaptive Bayesian networks machine learning model was de...

Perceptions of artificial intelligence in healthcare: a qualitative study among healthcare professionals in Jordan.

BMJ leader
PURPOSE: While there are studies on this topic, there may be a relative scarcity of research focusing on specific regions, such as Jordan. So, this study aims to gather insights from healthcare providers in Jordan concerning the advantages of integra...

Pilot testing of the Research Impact Assessment Framework.

Australian health review : a publication of the Australian Hospital Association
Traditional academic impact frameworks and metrics have been criticised, because they fail to assess the 'real-world' value of research. The Research Impact Assessment Framework was developed to complement and extend existing impact assessment framew...

Evaluation of ChatGPT responses to common patient questions on ankle fusion.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons
BACKGROUND: The study assessed the quality and readability of responses given by ChatGPT to common patient questions about ankle fusion.