AIMC Topic: Surveys and Questionnaires

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Intelligent User Interfaces and Their Evaluation: A Systematic Mapping Study.

Sensors (Basel, Switzerland)
Intelligent user interfaces (IUI) are driven by the goal of improvement in human-computer interaction (HCI), mainly improving user interfaces' user experience (UX) or usability with the help of artificial intelligence. The main goal of this study is ...

A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Questionnaires have been used in the past 2 decades to predict the diagnosis of vertigo and assist clinical decision-making. A questionnaire-based machine learning model is expected to improve the efficiency of diagnosis of vestibular dis...

Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP).

AIDS and behavior
Pre-Exposure Prophylaxis (PrEP) interventions are increasingly prevalent on social media. These data can be mined for insights about PrEP that may not be as apparent in surveys including personal musings about PrEP and barriers/facilitators to PrEP u...

Incidence and predictive factors of orgasmic dysfunction after robot-assisted radical prostatectomy: A cross-sectional, questionnaire-based study.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVE: We sought to evaluate the incidence and extent of orgasmic dysfunction in patients after robot-assisted radical prostatectomy and to identify factors that could predict patients at risk.

Academic self-concept mediates the effect of online learning engagement on deep learning in online courses for Chinese nursing students: A cross-sectional study.

Nurse education today
BACKGROUND: Online learning is prevalent among nursing students, but the effect of online learning seems not as good as expected. Deep learning, as a learning approach that could help people solve complex problems and make innovative decisions, is as...

Orthopaedic Trainee Views on Robotic Technologies in Orthopaedics: A Survey-Based Study.

The journal of knee surgery
The use of robotics is a growing area within the field of surgery, especially in orthopaedics. To date, there is no literature examining orthopaedic trainee perception of or comfort with robotics in orthopaedics. An assessment of the next generation'...

Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM).

BMC medical informatics and decision making
BACKGROUND: Evaluating patients' experiences is essential when incorporating the patients' perspective in improving healthcare. Experiences are mainly collected using closed-ended questions, although the value of open-ended questions is widely recogn...

Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study.

BMC health services research
BACKGROUND: Technological progress in artificial intelligence has led to the increasing popularity of virtual assistants, i.e., embodied or disembodied conversational agents that allow chatting with a technical system in a natural language. However, ...

Why would you use medical chatbots? interview and survey.

International journal of medical informatics
BACKGROUND: Chatbots, empowered by artificial intelligence, are becoming increasingly popular in many fields and have much potential for application in real life situations. However, little attention has been paid to medical chatbots and most existin...

Research on the Relationship Model between Professional Identity and Life Meaning of Clinical Medical Freshmen based on Artificial Intelligence Medical Image Detection.

Contrast media & molecular imaging
OBJECTIVE: To understand the current situation of professional identity and life significance of clinical medical freshmen in a university in Xinjiang, analyze its influencing factors, find out the influencing factors and causes, and intervene and im...