Artificial Intelligence Medical Compendium

PURPOSE: This study evaluated the efficiency and effectiveness of using Generative Artificial Intelligence (GenAI) to draft Medical Student Performance Evaluation (MSPE) summary paragraphs for medical students. MATERIALS AND METHODS: Evaluations on t... read more 

While the labor market effects of industrial robots have been extensively studied, their broader health implications, particularly on chronic diseases, remain unexplored. This study fills this gap by linking China's national-industry robot adoption d... read more 

AIM: To examine the perinatal experiences of at-risk mothers and their engagement with mobile-health-based care. DESIGN: A qualitative descriptive study. METHODS: One-to-one semi-structured interviews were conducted with 30 at-risk mothers, defined a... read more 

AIMS: The study focused on nurses' familiarity with, beliefs about, and attitudes towards artificial intelligence, aiming to identify configurations of necessary and sufficient conditions associated with strong intentions to use artificial intelligen... read more 

PURPOSE: This study aimed to assess the performance of a deep learning model using multimodal imaging for detecting lymph node metastasis in esophageal cancer in comparison to expert assessments. METHODS: A retrospective analysis was performed for 52... read more 

AIM: To systematically map evidence on the application of AI systems in nursing workforce management, with a targeted focus on the role of nurse leaders. DESIGN: A scoping review. DATA SOURCES: A comprehensive literature search was conducted across s... read more 

Machine learning offers a novel approach to improve surgical triage in pediatric craniomaxillofacial trauma, where decision-making often relies on clinician judgment without standardized criteria. This retrospective study used data from the National ... read more 

BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder with multifactorial etiologies, has been closely associated with disturbances in manganese metabolism. However, its specific biomarkers remain insufficiently characterized. This study... read more 

OBJECTIVE: Treatment decision-making for non-small cell lung cancer (NSCLC) is complex, necessitating individualized decision-support tools to improve prognosis. This study aimed to develop and externally validate interpretable machine learning model... read more 

The rational exploration and design of high-performance, stable electrocatalysts are crucial for efficient renewable energy storage, conversion, and utilization. Artificial intelligence (AI) is revolutionizing this field by significantly reducing the... read more