AIMC Topic: Surveys and Questionnaires
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Assessing ChatGPT adoption in Jordanian medical education: a UTAUT model approach.
BMC medical education
May 22, 2025
BACKGROUND: ChatGPT has shown significant promise in transforming medical education by streamlining research and improving teaching methods. However, its adoption in Middle Eastern medical education has remained underexplored. This study investigated...
The hermeneutic window and machine-based interactions in primary care: how do we prevent depersonalisation?
The British journal of general practice : the journal of the Royal College of General Practitioners
May 22, 2025
BACKGROUND: Digital technologies are transforming healthcare delivery by enhancing accessibility and providing innovative ways to manage increasing patient demand. With the rise of artificial intelligence (AI) and machine learning (ML), a tsunami of ...
Artificial intelligence in primary care: a plausible prospect or distant delusion?
The British journal of general practice : the journal of the Royal College of General Practitioners
May 22, 2025
BACKGROUND: Artificial intelligence (AI) offers an innovative means of changing primary care, yet the impressions of primary care professionals (PCPs) on this potentially revolutionary resource remains unclear.
Understanding Dermatologists' Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis.
JMIR human factors
May 21, 2025
BACKGROUND: Digital health interventions (DHIs) have the potential to enhance dermatological care by improving quality, patient empowerment, and efficiency. However, adoption remains limited, particularly in Germany.
Assessing ChatGPT's Capability as a New Age Standardized Patient: Qualitative Study.
JMIR medical education
May 20, 2025
BACKGROUND: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intellige...
Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study.
Journal of medical Internet research
May 20, 2025
BACKGROUND: Large language models (LLMs), such as OpenAI's GPT-3.5, GPT-4, and GPT-4o, have garnered early and significant enthusiasm for their potential applications within mental health, ranging from documentation support to chat-bot therapy. Under...
Examining the empathy levels of medical students using CHAID analysis.
BMC medical education
May 19, 2025
BACKGROUND: Empathy is a key factor in the medical field as it strengthens doctor-patient relationships, enhances communication, and leads to improved patient outcomes. This study aims to investigate the empathy levels of medical students, providing ...
[Cluster predictors of trajectories of leisure-time physical activity intensity in men and women from ELSA-Brasil].
Cadernos de saude publica
May 19, 2025
The maintenance of physical activity over time is a challenge for public health. Predictors of different physical activity intensities have not been sufficiently analyzed. This study aimed to identify clusters of trajectories of physical activity int...
Using the Language of elite athletes to predict their personality and on court transgressions.
Scientific reports
May 16, 2025
Personality is predictive of many behaviors, but personality questionnaires cannot be readily administered to persons of interest. The language people use to express themselves can often predict personality and so should, in theory, provide a surroga...
Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study.
JMIR medical informatics
May 16, 2025
BACKGROUND: The capabilities of large language models (LLMs) to self-assess their own confidence in answering questions within the biomedical realm remain underexplored.
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