AIMC Topic: Surveys and Questionnaires

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Ecological Network Analysis: Utilizing Machine Learning to Unravel the Effects of Multilevel Pathways of Moderate⁃to⁃Vigorous Physical Activity Facilitators Among School Children.

Research quarterly for exercise and sport
The objective of the present study was to ascertain whether the association between moderate-to-vigorous intensity physical activity (MVPA) levels and individual, interpersonal, organizational, and environmental factors among school children is influ...

Using explainable machine learning to investigate the relationship between childhood maltreatment, positive psychological traits, and CPTSD symptoms.

European journal of psychotraumatology
The functional impairment resulting from CPTSD symptoms is enduring and far-reaching. Existing research has found that CPTSD symptoms are closely associated with childhood maltreatment; however, researchers debate whether CPTSD symptoms are predomin...

Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine: a study of prospective physicians in Canada.

Medical education online
BACKGROUND: The practice of evidence-based medicine (EBM) has become pivotal in enhancing medical care and patient outcomes. With the diffusion of innovation in healthcare organizations, EBM can be expected to depend on medical professionals' compete...

[Impacts and implications of conversational artificial intelligence tools in hematology: a critical evaluation of performance and patient perception].

Annales de biologie clinique
Large Language Models (LLMs), such as ChatGPT, Gemini, and Copilot, are generating growing interest for their ability to produce accessible medical responses. In hematology, a discipline focused on the interpretation of complex test results, these to...

Exploring the impact of generative AI tools on healthcare delivery in Tanzania.

Journal of health organization and management
PURPOSE: This study explores the impact of generative AI tools on healthcare delivery in Tanzania. It examines its potential to enhance efficiency, accessibility and decision-making in health informatics while addressing infrastructure, ethics and eq...

Artificial intelligence and employee performance in Uganda's healthcare institutions: exploring the mediation effects of perceived ease of use and skills enhancement.

Journal of health organization and management
PURPOSE: The purpose of this study is to investigate the relationship between artificial intelligence (AI) and employee performance in Uganda's healthcare institutions, with a specific focus on exploring the mediating effects of perceived ease of use...

[Assessing the accuracy and comprehensiveness of large language models in responding to patient inquiries on placenta accreta spectrum].

Zhonghua yi xue za zhi
To explore the accuracy and comprehensiveness of responses from four large language models [ChatGPT-3.5 (Model A), ChatGPT-4.0 (Model B), ChatGPT-4o (Model D) developed by OpenAI in the United States, and a domestically developed Obstetric artificia...

Artificial intelligence versus ophthalmology experts: Comparative analysis of responses to blepharitis patient queries.

European journal of ophthalmology
ObjectiveTo assess the accuracy and clinical education value of responses from AI models (GPT-3.5, GPT-4o, Gemini, Gemini Advanced) compared to expert ophthalmologists' answers to common patient questions about blepharitis, and evaluate their potenti...

Inherited retinal disease pathway in the UK: a patient perspective and the potential of AI.

The British journal of ophthalmology
BACKGROUND: Inherited retinal diseases (IRDs) are the leading cause of blindness in young people in the UK. Despite significant improvements in genomics medicine, the diagnosis of these conditions remains challenging, and around 40% do not receive a ...