AIMC Topic: Surveys and Questionnaires

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Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

PloS one
Occupational stress is a major concern for employers and organizations as it compromises decision-making and overall safety of workers. Studies indicate that work-stress contributes to severe mental strain, increased accident rates, and in extreme ca...

Intergenerational views on humanoid nurse robots in general wards, obstetrics and neonatal units.

Nursing ethics
BackgroundThis study explores intergenerational perspectives on the use of humanoid nurse robots in healthcare settings, recognizing the increasing relevance of robotic technologies and associated ethical, emotional, and privacy concerns.Research aim...

It's raining bots: how easier access to internet surveys has created the perfect storm.

BMJ open quality
Online surveys are an increasingly common way to collect data from the public, with social media and financial incentives (e.g. gift cards) commonly used to increase participation rates. Anonymity, ease of response, and the potential to reach diverse...

Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.

Computers, informatics, nursing : CIN
As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge about the effects of artificial intelligence, its outcomes, and how it will be used, as well as potent...

Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction.

Scientific reports
Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Global Registry of Acute Coronary Events (GRACE) score assesses cardiovascular risk post-ACS. This study evaluated whether incorporating the STOP-BANG sc...

Exploring the medical ethical limitations of GPT-4 in clinical decision-making scenarios: a pilot survey.

Frontiers in public health
BACKGROUND: This study aims to conduct an examination of GPT-4's tendencies when confronted with ethical dilemmas, as well as to ascertain their ethical limitations within clinical decision-makings.

Assessing ChatGPT adoption in Jordanian medical education: a UTAUT model approach.

BMC medical education
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
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
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
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.