Artificial Intelligence Medical Compendium

INTRODUCTION: Artificial intelligence (AI)-generated educational content holds promise for scalable medical education, but evidence comparing AI and clinician-produced podcasts remains limited. We investigated whether AI-generated podcasts achieve co... read more 

BACKGROUND: Molecular features are fundamental to both the diagnosis and prognosis of gliomas. Specific molecular features are generally unavailable at the time of index surgery; however, upfront knowledge of molecular characteristics could meaningfu... read more 

Multi-contrast super-resolution (MCSR) is crucial for enhancing MRI but current deep learning methods are limited. They typically require large, paired low- and high-resolution (LR/HR) training datasets, which are scarce, and are trained for fixed up... read more 

Genomic structural variations (SVs) are pivotal in pathogenesis, yet existing methods often fail to maintain structural consistency for ultra-long variants spanning extensive intervals. In this paper, we propose SSL-InsNet, a novel sequence structure... read more 

Explainability is an important requirement for machine learning models in high-risk domains such as medicine. We introduce HierViT, a hierarchical Vision Transformer that combines competitive predictive performance with multiple mechanisms to support... read more 

OBJECTIVE: To evaluate whether semantic clinical knowledge augmentation through Semantic Clinical Artificial Intelligence (SCAI) improves medical question answering across commercial and open large language models, and to examine how a reasoning dist... read more 

The pursuit of large receptive fields has shaped the evolution of computer vision frameworks, spanning from convolutional neural networks (CNNs) to Transformers and Mamba. Recently, large-kernel operations have revitalized CNNs, making them competiti... read more 

OBJECTIVE: Dual-energy contrast-enhanced digital breast tomosynthesis (DECE-DBT) could provide the quantification of iodine contrast with a pseudo-three-dimensional lesion reconstruction, outperforming CE two-dimensional mammography, and hence be a c... read more 

INTRODUCTION: Radiographic detection of caries lesions adjacent to restorations is challenging because of the limitations of two-dimensional imaging and difficulties distinguishing true lesions from restorative or anatomical radiolucencies. Artificia... read more 

This exploratory retrospective analysis investigated whether clinical and radiomic features could provide prognostic information regarding 6-month outcomes following regenerative periodontal treatment. Thirty-nine defects were classified using the Co... read more