Artificial Intelligence Medical Compendium

OBJECTIVES: This study evaluated whether an AI-generated, panoramic radiograph-based score was associated with five selected systemic diseases. METHODS: 26,550 panoramic radiographs from two hospitals were analyzed using an AI model that detected tee... read more 

INTRODUCTION: The management of the long head of the biceps (LHB) tendon in small rotator cuff tears remains controversial, particularly when the tendon appears macroscopically healthy. While prophylactic tenotomy or tenodesis is often recommended fo... read more 

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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