Artificial Intelligence Medical Compendium

The low initial Coulombic efficiency (ICE) and limited plateau capacity hinder the enhancement of the energy density for hard carbon anodes. To address the above critical issue, this review focuses on chemically mediated engineering strategies for cl... read more 

Accurate prediction of ion transport properties remains a key bottleneck in computational discovery of solid-state electrolytes, particularly because experimentally measured ionic conductivities are sparse and strongly dependent on crystal structure.... read more 

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into research across disciplines, raising various ethical concerns related to bias, privacy, transparency, and accountability. However, less is known about how these challenges are a... read more 

Recent advances in natural language processing combined with deep learning have transformed disease prediction, diagnosis, and treatment, yet their application in automated quality control of medical questionnaire data remains largely unexplored. Her... read more 

First-principles calculations play a pivotal role in contemporary chemical studies. The most commonly employed algorithms are based on density functional theory (DFT), and in certain instances, the Hartree-Fock method is also utilized. Although these... read more 

OBJECTIVE: Social disadvantage is an important determinant of health in focal epilepsy, but its neurobiological basis remains unclear. We examined whether brain morphometric alterations represent a structural signature of deprivation. METHODS: We per... read more 

Artificial intelligence (AI) in human diagnostic histopathology has advanced rapidly, but clinical adoption has lagged behind research. Veterinary diagnostic pathology, being less regulated, could adopt AI faster, but the extent of its integration in... read more 

OBJECTIVES: This study compared UroVision, a novel AI-based tool for automated three-dimensional (3D) segmentation and magnetic resonance urography (MRU) functional analysis, with the validated ImageJ MRU software, focusing on split renal function (S... read more 

BACKGROUND: The development of high-performance biosensor materials for the selective detection of rare DNA bases is of great significance. Transition metal doping provides an effective strategy for regulating the electronic properties and adsorption... read more 

UNLABELLED: This study aims to develop and internally validate separate machine learning models predicting continuous positive airway pressure (CPAP) failure and high-flow nasal cannula (HFNC) failure in preterm neonates. This retrospective cohort st... read more