Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is rapidly integrating into health professions education and clinical practice, creating significant opportunities alongside new ethical challenges. Although current international and professional guidance establishes essential values, it offers limited direction for how clinicians, educators, learners, and institutions should act in routine educational, re...
Robot-assisted radical cystectomy (RARC) is a complex procedure that requires patients to understand surgical indications, urinary diversion, perioperative treatment, complications, recovery, and long-term functional outcomes. Although artificial intelligence (AI) chatbots are increasingly used to obtain medical information, their suitability for RARC patient education remains unclear. We conducte...
OBJECTIVE: Automating administrative tasks, such as compiling a patient's medical history, could help general practitioners in their daily work. AI pe...
Color vision deficiency (CVD) can negatively affect students' learning experiences and career choices; however, combined screening and educational cou...
Childhood malnutrition remains a major public health concern in Nepal and other low-resource settings, while conventional case-finding approaches are ...
Neoadjuvant chemotherapy (NAC) followed by radical cystectomy is the standard of care for muscle-invasive bladder cancer (MIBC), yet treatment respons...
Rural livelihood strategies significantly influence socio-ecological systems and sustainability outcomes. However, spatially explicit data on liveliho...
A growing convergence between social science and machine learning enables, in principle, large-scale analyses of complex social phenomena through text...
BACKGROUND: As large language models become increasingly integrated into clinical workflows, medical students need structured opportunities to learn h...
STUDY QUESTION: How do the three most widely accessible large language models perform in terms of accuracy, consistency, and reliability when answerin...
BACKGROUND: Accurate psychiatric assessment requires understanding a person's unique experience within their psychosocial context. Clinical interviews...
BACKGROUND: HEDIS Childhood Immunization Status (CIS) Combination 10 is a pediatric quality measure within a widely used health care performance frame...
BACKGROUND: Traditional simulation-based nursing education is often constrained by high costs, resource intensity, and limited scalability. AI-powered...
BACKGROUND: Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterized by fluctuating clinical courses that affect appr...
BACKGROUND: Artificial intelligence (AI) is increasingly encountered in clinical care and medical education, but medical students' attitudes, percepti...
AI models are increasingly explored for radiographic assessment of knee osteoarthritis, but their reliability as an experimental model for KL grading ...
PURPOSE: To evaluate and compare the clinical accuracy, reliability, comprehensiveness and readability of three prominent Large Language Models (LLMs)...
Postoperative erectile dysfunction remains a highly debilitating complication following robot assisted radical prostatectomy for localized prostate ca...
BACKGROUND: Empathic communication in the clinical setting has been associated with improved clinical outcomes, decreased anxiety, and increased patie...
BACKGROUND: Body image dissatisfaction, disordered eating, and eating disorders represent significant public health concerns; however, many affected i...