AIMC Topic: Cross-Sectional Studies
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Exploring dental students' attitudes and perceptions toward artificial intelligence in dentistry in Iran.
BMC medical education
May 19, 2025
INTRODUCTION: AI has the potential to enhance diagnostics, optimize treatment planning, and improve patient care. However, concerns remain regarding professional autonomy, ethical considerations, and the need for adequate training. This research aims...
Automated and AI-Based Communication in the GP Practice as a Replacement for Personal Doctor-Patient Contact - A Patient Survey on Acceptance.
Studies in health technology and informatics
May 15, 2025
BACKGROUND/AIM: The study examines patient acceptance of automated and AI-based communication as a replacement for personal doctor-patient contact in general practice.
Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare.
NeuroImage
May 15, 2025
Changes in the pace of neurodevelopment are key indicators of atypical maturation during early life. Unfortunately, reliable prognostic tools rely on assessments of cognitive and behavioral skills that develop towards the second year of life and afte...
Machine learning-based diagnostic model for neonatal intestinal diseases in multiple centres: a cross-sectional study protocol.
BMJ open
May 14, 2025
BACKGROUND: Neonatal intestinal diseases often have an insidious onset and can lead to poor outcomes if not identified early. Early assessment of abnormal bowel function is critical for timely intervention and improving prognosis, underscoring the cl...
Machine learning approach for unmet medical needs among middle-aged adults in South Korea: a cross-sectional study.
BMC health services research
May 13, 2025
BACKGROUND: South Korea is reported to have higher levels of unmet medical needs (UMN) than other countries, particularly among the middle-aged adult population. Considering that this group constitutes a substantial portion of the country's productiv...
AI usage among medical students in Palestine: a cross-sectional study and demonstration of AI-assisted research workflows.
BMC medical education
May 12, 2025
BACKGROUND: Artificial Intelligence (AI) is transforming medical education globally, offering solutions to challenges such as resource limitations and limited clinical exposure. However, its integration in resource-constrained settings like Palestine...
Impact of pharmacology perception and learning strategies on academic achievement in undergraduate pharmacy students.
Scientific reports
May 12, 2025
Pharmacology is a cornerstone of pharmacy education, bridging biomedical sciences with clinical application. Understanding students' perceptions of pharmacology's relevance can influence their learning strategies and academic performance. Despite its...
Application of interpretable machine learning algorithms to predict macroangiopathy risk in Chinese patients with type 2 diabetes mellitus.
Scientific reports
May 12, 2025
Macrovascular complications are leading causes of morbidity and mortality in patients with type 2 diabetes mellitus (T2DM), yet early diagnosis of cardiovascular disease (CVD) in this population remains clinically challenging. This study aims to deve...
Global Health care Professionals' Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study.
JMIR medical education
May 12, 2025
BACKGROUND: ChatGPT is a large language model-based chatbot developed by OpenAI. ChatGPT has many potential applications to health care, including enhanced diagnostic accuracy and efficiency, improved treatment planning, and better patient outcomes. ...
Application of machine learning for the analysis of peripheral blood biomarkers in oral mucosal diseases: a cross-sectional study.
BMC oral health
May 10, 2025
BACKGROUND: Oral mucosal lesions are widespread globally, have a high prevalence in clinical practice, and significantly impact patients' quality of life. However, their pathogenesis remains unclear. Recent evidences suggested that hematological para...
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