Artificial Intelligence Medical Compendium

BACKGROUND: Late-life depression (LLD) features recurrent episodes and frequently co-exists with cognitive impairment, which predicts worse outcomes and progression to dementia. Evidence indicates a bidirectional depression-cognition relationship, bu... read more 

BACKGROUND AND OBJECTIVE: Dysfunction in the cortical-striatal-thalamo-cortical circuit is considered a core pathological mechanism of obsessive-compulsive disorder (OCD) and may contribute to abnormalities in the sensorimotor network (SMN). Although... read more 

Metabolic alterations and immune dysfunction within the gastric tumor microenvironment critically drive gastric cancer (GC) progression and therapeutic resistance. Although single-cell RNA sequencing (scRNA-seq) has unveiled cellular heterogeneity in... read more 

RNA splicing removes non-coding introns from pre-mRNA to generate mature mRNA in eukaryotes, and accurate identification of splice sites is essential for understanding gene structure and regulation. Traditional gene annotation and splice-site predict... read more 

Electronic medical records (EMR) have transformed how clinical information is documented, shared, and utilized over the past 60 years, and the addition of artificial intelligence (AI) has vastly broadened EMR's capabilities. Targeted comprehensive pr... read more 

BACKGROUND: The increasing incidence of adolescent depression represents a serious public health concern. Despite clear diagnostic criteria, the wide range of symptoms and their overlap with other psychiatric disorders make it difficult to provide ef... read more 

In abdominal CT imaging, optimizing the balance between radiation dose and image quality is crucial, and the primary prerequisite is accurate image quality assessment. Clinical practice uses doctors' subjective judgment as the gold standard, but it i... read more 

BACKGROUND: Postoperative delirium is associated with increased morbidity, mortality, future cognitive decline, or dementia. Understanding the neural mechanisms that differentiate individual brain vulnerabilities is critical for future therapeutic de... read more 

Operative management of spinal metastatic disease is largely for symptom palliation rather than curative and revolves around the expectation that postoperative survival will exceed recovery time. While several scoring systems and models to predict su... read more 

PURPOSE: To propose a gradient-echo multiple overlapping-echo detachment (GRE-MOLED) method for rapid abdominal T2* mapping, and to systematically validate its efficacy in non-invasive monitoring of dynamic hepatic glycometabolism. METHODS: The GRE-M... read more