Latest AI and machine learning research in surveys for healthcare professionals.
Missing data are pervasive in psychological and educational assessments. Naive remedies, including listwise deletion and item-mean imputation, often degrade research validity and misinform subsequent decisions. Recent advances in artificial neural networks have demonstrated their efficacy in prediction-related tasks by using observed features to infer unknown values. Building on this potential, we...
BACKGROUND: Generative AI (GenAI) is increasingly integrated into clinical learning and practice. However, medical students often lack the competencies required for safe and critical use, including prompt design, output verification, and recognition of limitations. Educational interventions that integrate GenAI with clinical reasoning frameworks remain limited. OBJECTIVE: This study evaluated a st...
BACKGROUND: The integration of AI into China's expanding cosmetic medicine market represents a key technological shift, yet physician perspectives rem...
BACKGROUND: Bipolar disorder (BD) features episodic shifts among mania, hypomania, depression, mixed states, and euthymia. Timely detection of mood tr...
BACKGROUND: Accurately predicting operative difficulty in laparoscopic cholecystectomy (LC) is foundational to personalized surgical planning and pati...
BACKGROUND: Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality worldwide. Accurate early prediction of response ...
INTRODUCTION: Nursing care plans are fundamental learning tools for assessing students' clinical judgment, yet documentation quality is influenced by ...
This study seeks best practices for when and how to apply short text topic modelling (STTM) techniques using natural language processing to semi-struc...
To map the development of robot-generated surgical data in urology and to assess how far the literature has progressed from engineering measurement to...
AI-driven prediction of drug-target interaction (DTI) has emerged as a critical component in modern drug discovery and development. However, this appr...
OBJECTIVES: Sudden cardiac arrest is a leading cause of mortality in Canada (40,000 treatable deaths annually). Despite the benefits of 9-1-1 telecomm...
The growing integration of artificial intelligence into healthcare is frequently associated with efforts to reduce uncertainty through prediction, dat...
BACKGROUND: Overactive bladder (OAB) is a prevalent condition, particularly among women, characterized by urinary urgency, often accompanied by freque...
BackgroundRapid AI integration into healthcare necessitates proactive action to leverage benefits and reduce risks to clients and occupational therapy...
This study investigates how architectural design influences the behavior of lightweight convolutional neural networks (CNNs) in multilabel classificat...
BACKGROUND: Minimally invasive surgery has transformed inguinal hernia management; however, its utilization compared to open approaches remains poorly...
Large language models are increasingly being used in academic and scientific writing, but their reliability in medical literature generation remains u...
BACKGROUND: Didactic education is a core component of plastic surgery residency training and prepares residents for board certification and clinical p...
Cerebrovascular research heavily relies on quantitative analysis of intracranial arteries from time-of-flight magnetic resonance angiography (TOF-MRA)...
OBJECTIVE: This review examined the historical development of artificial intelligence (AI) in psychiatry from 1972 to 2025 and identified persistent b...