Artificial Intelligence Medical Compendium

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BACKGROUND & AIMS: Achalasia diagnosis relies on integrating endoscopic, functional, and physiologic testing, yet high-resolution manometry (HRM) is invasive, uncomfortable, and resource limited. Artificial intelligence (AI) offers a potential pathwa... read more 

BACKGROUND AND AIMS: Thalassemia remains a global public health challenge, yet definitive diagnosis via genetic testing is often restricted by high costs and infrastructure requirements. We aimed to develop and externally evaluate an interpretable de... read more 

Magnetic resonance imaging (MRI) provides high spatial resolution, excellent soft-tissue contrast, and reliable anatomical discrimination, and is therefore widely used in clinical diagnosis. However, long acquisition time still limits imaging efficie... read more 

BACKGROUND: Preoperative detection of meningioma bone invasion lacks objective biomarkers and relies on subjective radiological assessment, posing a risk of excessive bone resection or residual tumor. We therefore developed and externally validated a... read more 

OBJECTIVE: This paper introduces Direct Effects Multiplicative Inference (DEMI), a causal algorithm that reasons through a medical knowledgebase and predicts clinical outcomes from direct, unmediated effects. This study compares performance of DEMI t... read more 

The ERK/MNK/eIF4E signaling axis is critically involved in cap-dependent translation and significantly impacts survival and chemotherapy resistance in ovarian cancer. Clinical data indicate that elevated eIF4E expression is an independent prognostic ... read more 

Understanding how urban ozone responds to meteorological variability is essential for explaining spatial heterogeneity in ozone pollution and developing region-specific mitigation strategies. Previous studies have primarily focused on identifying dom... read more 

BACKGROUND: Actinic keratoses (AKs) and Bowen disease (BD) are precursors of cutaneous squamous cell carcinoma (cSCC) and are particularly relevant in solid organ transplant recipients (SOTRs) because of chronic immunosuppression. Early, accurate dia... read more 

BACKGROUND: Accurate prediction of breeding values (BVs) is fundamental to genetic improvement in racehorses. Although single-trait mixed models (STM), typically implemented using BLUP-based procedures, remain the standard framework for genetic evalu... read more