Artificial Intelligence Medical Compendium

PurposeThis study aimed to evaluate iris melanin concentration using polarization-sensitive anterior segment optical coherence tomography (PS-AS-OCT) and to explore its correlation with iris color in individuals with brown irides.MethodsIris cross-se... read more 

Thanks to its extensive intrinsic (enteric) neural networks spanning its entire length, the gastrointestinal (GI) tract has long been recognized for its ability to operate independently of the central nervous system (CNS). Despite that, the CNS provi... read more 

OBJECTIVES: Systemic lupus erythematosus (SLE) is a life-threatening autoimmune disorder causing multi-organ damage. Current diagnostic methods are hindered by inadequate sensitivity and specificity of conventional biomarkers, which frequently delay ... read more 

OBJECTIVES: The use of deep learning in detecting teeth with open apices can prevent the need for additional radiographs for patients. The presented study aims to detect open-apex teeth using You Only Look Once (YOLO)-based deep learning models and c... read more 

Artificial intelligence (AI) has transformed medical imaging, notably in radiology and endoscopy. Semantic segmentation, a pixel-level technique crucial for delineating pathological features, has become pivotal in digital pathology. Pathology segment... read more 

PURPOSE: Extranodal extension (ENE) is a biomarker in oropharyngeal carcinoma (OPC) but can only be diagnosed via surgical pathology. We applied an automated artificial intelligence (AI) imaging platform integrating lymph node autosegmentation with E... read more 

This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly... read more 

Despite the exponential growth of artificial intelligence (AI) solutions designed to assist radiologists in clinical practice, their actual impact on radiology departments remains below initial expectations. Daily workflows have not been profoundly t... read more 

Acute Kidney Injury (AKI) is a major health concern with high costs and poor outcomes, partly due to late diagnosis. This paper reviews the application of artificial intelligence (AI) and machine learning (ML) to overcome these limitations by enablin... read more 

The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally... read more