Artificial Intelligence Medical Compendium

Understanding how network structure shapes neural population dynamics and representation of external inputs is a key issue in neuroscience. This study proposes a modeling framework for recurrent spiking neural networks (RSNN) and elucidates dynamical... read more 

Cyanobacteria, as photosynthetic microorganisms, are emerging as a significant source of bioactive peptides with tremendous therapeutic potential against cancer, infections, and inflammatory diseases. Recent studies have highlighted that cyanobacteri... read more 

Artificial intelligence (AI) has become a major area of ophthalmic innovation, with a rapidly expanding literature, yet routine clinical adoption remains limited. Diagnostic accuracy alone is an insufficient marker of clinical value because even tech... read more 

BACKGROUND: Deep learning-based aneurysm segmentation using 3D time-of-flight magnetic resonance angiography (TOF-MRA) offers promising non-invasive screening, but its accuracy and generalizability remain limited. PURPOSE: To develop a deep learning ... read more 

OBJECTIVE: Drug-drug interactions (DDIs) are a major cause of adverse drug reactions (ADRs), particularly in patients receiving multiple medications. Existing computational methods predominantly focus on pairwise interactions, limiting their ability ... read more 

BACKGROUND: Accurate early diagnosis of oral cancerous lesions is critical for effective treatment and reliable prognosis prediction. With technological advancements, artificial intelligence (AI) has been proposed as a transformative tool for cancer ... read more 

INTRODUCTION: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia worldwide, and environmental factors are increasingly recognized as contributors to its complex pathogenesis. The tire antioxidant N-(1,3-dimethylbutyl)-N'-phenyl-p-phe... read more 

BACKGROUND: Binge drinking (BD) refers to episodes of excessive alcohol consumption, which are associated with various acute and long-term consequences. Despite its high prevalence and negative impacts, predictive features for BD remain lacking. This... read more 

OBJECTIVE: To summarize empirical definitions and characteristics of manuscript peer review in the literature. STUDY DESIGN AND SETTING: Scoping review conducted according to JBI methodology. We searched eight bibliographic databases and 76 grey-lite... read more 

PURPOSE: Efficient delineation of cardiac substructures is essential for assessing radiation-induced cardiac toxicity in thoracic radiotherapy. We clinically evaluated a deep learning model designed for automated segmentation of these structures. MET... read more