Artificial Intelligence Medical Compendium

Incomplete multi-view data frequently arises in scenarios where certain views are unavailable due to sensor malfunctions or data corruption. In recent years, deep incomplete multi-view clustering has gained significant attention for its capacity to a... read more 

BACKGROUND: Effective cancer symptom management significantly impacts patient outcomes and quality of life. While Clinical Decision Support Systems show promise for enhancing symptom management, comprehensive analysis of their implementation in nursi... read more 

Heart disease remains one of the leading causes of mortality globally, resulting in millions of deaths annually and imposing a significant burden on healthcare infrastructure and clinical management systems. This alarming prevalence underscores the c... read more 

BACKGROUND: Due to altered drug clearance, renal impairment necessitates drug dose adjustments to prevent toxicity or therapeutic failure, yet inappropriate dosing persists. The utility of AI tools (e.g., ChatGPT®, DeepSeek®) in supporting renal dose... read more 

Soft robotics solutions to unmet clinical needs represent an emergent disruptive technology. However, clear guidelines on the selection of sterilization methods that consider the preservation of essential physical and functional characteristics of su... read more 

The mechanisms underlying the pathogenesis of septic cardiomyopathy (SCM) are intricate and incompletely understood. PANoptosis is a novel type of programmed cell death, and in the present study, bioinformatics, machine learning and experimental vali... read more 

BACKGROUND: Diagnosing central adrenal insufficiency (CAI) is challenging in patients with inconclusive morning cortisol (4-18 µg/dL). Dynamic tests like the short Synacthen test (SST) are imperfect, necessitating reliable tools to stratify CAI risk ... read more 

Scientific foundation models hold great promise for advancing nuclear and particle physics by improving analysis precision and accelerating discovery. Yet, progress in this field is often limited by the lack of openly available large-scale datasets, ... read more 

OBJECTIVE: Alzheimer's disease (AD) is strongly associated with aging, yet the interactions remain unclear. This study modeled replicative senescence in patient-derived fibroblasts to compare gene expression between AD dementia and controls across se... read more 

Urban-suburban disparities in ozone (O3) pollution have received growing attention due to their implications for environmental equity and public health. However, the underlying drivers of these disparities remain poorly understood, especially the con... read more