AIMC Topic: Surveys and Questionnaires
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Use of Virtual Reality in the Pediatric Perioperative Setting and for Induction of Anesthesia: Mixed Methods Pilot Feasibility Study.
JMIR perioperative medicine
May 16, 2025
BACKGROUND: Children commonly experience high levels of anxiety prior to surgery. This distress is associated with postoperative maladaptive behaviors. Virtual reality (VR) is an innovative tool for reducing anxiety and pain during various medical pr...
Referral patterns, influencing factors, and satisfaction related to referrals of patients with rheumatic diseases to other healthcare professionals: an online survey of rheumatologists.
Rheumatology international
May 5, 2025
Managing rheumatic diseases requires teamwork, but referral patterns and challenges remain poorly understood. This study explored rheumatologists' perspectives on referral patterns in the Gulf countries. We conducted a web-based, 21-question cross-se...
Perspectives and Experiences With Large Language Models in Health Care: Survey Study.
Journal of medical Internet research
May 1, 2025
BACKGROUND: Large language models (LLMs) are transforming how data is used, including within the health care sector. However, frameworks including the Unified Theory of Acceptance and Use of Technology highlight the importance of understanding the fa...
The Relationship Between Anxiety and Readiness Levels Regarding Artificial Intelligence in Midwives: An Intergenerational Comparative Study.
Computers, informatics, nursing : CIN
May 1, 2025
This study aimed to compare Generations X, Y, and Z in terms of anxiety and readiness levels regarding artificial intelligence and investigate the relationship between anxiety and readiness levels regarding artificial intelligence in midwives across ...
Dental Students' Opinions on Use of Artificial Intelligence: A Survey Study.
Medical science monitor : international medical journal of experimental and clinical research
Apr 30, 2025
BACKGROUND The use of artificial intelligence (AI) in dentistry has been increasing, leading to significant changes in diagnosis, treatment planning, and patient management. However, research on dental students' awareness, acceptance, and professiona...
Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey.
BMC medical education
Apr 29, 2025
INTRODUCTION: Artificial intelligence is a transformative tool for improving healthcare delivery and diagnostic accuracy in the medical and dental fields. This study aims to assess the readiness of future healthcare workers for artificial intelligenc...
Factors influencing adoption intentions to use AIGC for health information: findings from SEM and fsQCA.
Frontiers in public health
Apr 25, 2025
BACKGROUND: With the rapid advancement of artificial intelligence technologies, AI-generated content (AIGC) was increasingly applied in the health information sector, becoming a vital tool to enhance the efficiency and quality of health information e...
Can ChatGPT provide parent education for oral immunotherapy?
Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
Apr 24, 2025
BACKGROUND: Oral Immunotherapy (OIT) has exhibited great potential in the treatment of food allergy. However, there is no global consensus on best practices of OIT. Parents of allergic children often struggle with concerns regarding OIT methodology, ...
Integrating AI into medical imaging curricula: Insights from UK HEIs.
Radiography (London, England : 1995)
Apr 24, 2025
INTRODUCTION: With artificial intelligence (AI) becoming increasingly integrated into medical imaging, the Health and Care Professions Council (HCPC) updated its Standards of Proficiency for Radiographers in Autumn 2023. These changes require clinici...
Validating Emotion Analysis on Social Media Text for Detecting Psychological Distress: A Cross-Sectional Survey.
Issues in mental health nursing
Apr 23, 2025
This study investigates the relationship between self-reported psychological distress and emotions in social media posts, using a deep learning-based emotion analysis model. A cross-sectional design was used, collecting data from Instagram and Thread...
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