BACKGROUND: AI-generated content is being used across the education spectrum and is beneficial for creating complex multiple-choice questions, such as those used in medical education. However, evaluating AI-generated content is challenging, and exist... read more
PURPOSE: Oral leukoplakia (OL), the most common oral potentially malignant disorder (OPMD), poses a significant risk for transformation to oral squamous cell carcinoma (OSCC). Despite its prevalence and variable malignant transformation rates, optima... read more
The contamination of staple crops with heavy metals is predominantly assessed through a geochemical lens, treating farmland as a static container while overlooking the organizing influence of landscape structure. Here we advance a "landscape risk fil... read more
Accurate quantification of stem cell-derived dopaminergic neurons is essential for advancing cell therapy strategies in Parkinson's disease (PD). Traditional manual stereological methods, while robust, are time-consuming and subject to interobserver ... read more
RATIONALE AND OBJECTIVES: Hyperpolarized 129Xe magnetic resonance imaging and spectroscopy (MRI/MRS) have been used to identify numerous imaging and spectroscopic features that distinguish interstitial lung disease (ILD) from chronic obstructive pulm... read more
International journal of legal medicine
May 9, 2026
OBJECTIVE: This study aimed to develop and compare two deep learning-based segmentation-radiomics pipelines - YOLOv8-Hybrid and nnU-Net v2 - for automated sex classification and age estimation from maxillary sinus morphometry on panoramic radiographs... read more
OBJECTIVE: This study compared the efficacy of Popular Science (PS) and Research-Based (RS) curriculum extensions in a Histology and Embryology course, and explored how artificial intelligence (AI) tools can be designed as differentiated cognitive pa... read more
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders worldwide, requiring early identification for timely intervention and to slow disease progression. However, existing diagnostic approaches, while effective at later sta... read more
As artificial intelligence (AI) systems assume greater responsibility in educational assessment, questions surrounding fairness, transparency, and trust have become central to their ethical and pedagogical legitimacy. Yet, little empirical work has e... read more
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