AIMC Topic: Surveys and Questionnaires

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Medical undergraduate students' awareness and perspectives on artificial intelligence: A developing nation's context.

BMC medical education
BACKGROUND: Artificial intelligence (AI) is reshaping healthcare, yet its integration into medical education remains limited. This study assesses undergraduate healthcare students' knowledge and perceptions of AI, its applications, challenges, and th...

Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study.

BMC medical research methodology
BACKGROUND: Missing survey data can threaten the validity and generalizability of findings from longitudinal cohort studies. Respondent characteristics and survey attributes may contribute to patterns of survey non-completion, a form of missing data ...

Lay beliefs about AI assessment of interpersonal skills in personnel selection.

Scientific reports
Artificial intelligence (AI) is revolutionizing talent acquisition, with organizations increasingly replacing humans with AI technologies in personnel selection processes. Field studies of nurses provide preliminary evidence that AI can outperform hu...

Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024.

PloS one
Museum architecture is essential for preserving cultural heritage. Understanding the spatio-temporal evolution of visitor preferences, image perceptions, and driving factors is vital for promoting cultural development. However, traditional methods su...

Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.

BMC psychology
INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with major depressive disorder(MDD) remains controversial. Therefore, the purpose of this study was to investigate the role NSSI plays in suicide risk in peopl...

Understanding the determinants of treated bed net use in Ethiopia: A machine learning classification approach using PMA Ethiopia 2023 survey data.

PloS one
INTRODUCTION: Malaria remains a significant public health challenge in Ethiopia, with over 7.3 million cases and 1,157 deaths reported between January 1 and October 20, 2024. Despite extensive distribution campaigns, 35% of insecticide-treated nets (...

Employing machine learning for early detection of poly-victimization in rural children: a survey study in China's Chaoshan region.

BMC public health
BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical abuse, emotional maltreatment, neglect, and peer violence, poses a significant public health challenge among children, particularly in rural areas wi...

Assessing psychological resilience and its influencing factors in the MSM population by machine learning.

Scientific reports
This study assesses the influence of social support, self-esteem, depression, and education on psychological resilience among men who have sex with men (MSM) to inform policy-making. Data were collected from 1,070 MSM via an online survey in Zhejiang...

Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator.

Acta psychologica
The modernization of Chinese higher education relies heavily on fostering innovative work behavior (IWB) among university teachers. However, the crucial role of non-intellectual and external factors has often been overlooked, contributing to insuffic...