Artificial Intelligence Medical Compendium

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 

BACKGROUND & AIMS: Invasive measurement of hepatic venous pressure gradient (HVPG) is the gold standard for diagnosing clinically significant portal hypertension (CSPH, i.e. HVPG ≥10 mmHg), which indicates an increased risk of decompensation. We eval... read more 

Atmospheric particulate matter (PM) pollution is severe in southern Xinjiang, especially near the Taklimakan Desert, where air quality is affected by both dust and anthropogenic emissions. This study employs explainable machine learning in Hotan to i... read more