Artificial Intelligence Medical Compendium

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 

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RATIONALE AND OBJECTIVES: The unprecedented growth of technology and unfiltered information has led to cognitive overload and educational gaps in radiology. Radiologists and trainees often require "just-in-time" educational content while interpreting... read more 

BACKGROUND: Machine learning (ML) is increasingly used for sarcopenia screening, but its added value over conventional models remains uncertain when datasets are moderately sized and predictors are few. We compared logistic regression (LR) with five ... read more