Artificial Intelligence Medical Compendium

Tantalum is a candidate material for advanced nuclear systems, but its irradiation damage mechanisms remain unclear. Using molecular dynamics with the UNEP-v1-ZBL machine-learning potential, we simulated BCC Ta under 1-50 keV PKA irradiation at 300-9... read more 

Cerebral small vessel disease (CSVD) is a leading cause of vascular cognitive impairment (VCI), characteristically associated with gray matter (GM) loss. However, it remains unclear whether this GM loss exhibits regional interhemispheric asymmetry an... read more 

BACKGROUND: Iron metabolism disorders were frequently observed in sepsis, yet their association with outcomes remained incompletely understood. Therefore, this study aimed to evaluate the prognostic value of iron-related biomarkers and to develop mod... read more 

Creative thinking drives the generation of novel and useful ideas, contributing to scientific progress and the resolution of social challenges. Evidence from the earliest stone tools, dating to approximately 3.3 million years ago, suggests that creat... read more 

Cancer registries are the cornerstone of population level cancer surveillance, providing the data necessary to estimate burden, monitor trends, and evaluate cancer control programmes. In low- and middle-income countries (LMICs) like Nigeria, these re... read more 

The psychiatric exposome offers a powerful framework for understanding how environmental conditions shape mental health across the life course, yet existing applications often reduce exposures to static, cumulative risk inventories. The exposome cons... read more 

PURPOSE: Quality assurance (QA) of auto-segmentations is necessary for safe clinical deployment. Deep learning models are optimised for data similar to their training set, but reliability drops with out-of-distribution (OOD) inputs. This study evalua... read more 

PURPOSE: To investigate the feasibility of a deep learning-based method for generating intensity-modulated proton therapy (IMPT) spot weights to enable a faster, more automated workflow. METHODS: A 3D Attention U-Net with a masked mean absolute error... read more 

Among PTMs, multiple chemical modifications on lysine residues have received extensive attention due to their dynamic and reversible properties. Although mass spectrometry can accurately identify modification sites, its high technical requirements an... read more 

Small proteins, typically under 100 amino acids in length, constitute an emerging class of functional biomolecules involved in diverse biological processes. Despite their importance, they are frequently overlooked in genome annotation, as conventiona... read more