Artificial Intelligence Medical Compendium

BACKGROUND: Differentiating multiple system atrophy-cerebellar subtype (MSA-C) from spinocerebellar ataxia (SCA) is often difficult due to overlapping cerebellar and autonomic manifestations. Heart rate variability (HRV) provides a noninvasive measur... read more 

Reliable detection of critical defects in thick Carbon Fiber Reinforced Polymers, particularly delamination, is a significant challenge. This task becomes severely complicated when complex microstructures such as fiber waviness limit the effectivenes... read more 

Neuronal circuits are the key target of both evolutionary and individual adaptation that enable organisms to successfully navigate, predict and shape their environment. Synaptic-resolution connectomics has the ambition to map neuronal circuits at sca... read more 

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INTRODUCTION: Identifying patient characteristics predictive of treatment response is crucial for optimizing type 2 diabetes outcomes. Using data from three phase 2/3 imeglimin trials in Japan, this analysis applied machine learning to determine char... read more 

The growing demand for sustainable and efficient water treatment solutions underscores the importance of high-quality activated carbon (AC) derived from renewable resources. In this study, AC was produced from sugarcane bagasse using sulfuric acid as... read more 

INTRODUCTION: The global incidence of skin cancer is rising, emphasizing the need for early detection tools. Artificial intelligence (AI) models, including multimodal systems like ChatGPT-4o, can analyze visual data to assist clinicians in diagnosis.... read more 

BACKGROUND AND OBJECTIVES: The Congress of Neurological Surgeons Self-Assessment for Neurological Surgeons questions are widely used by neurosurgical residents to prepare for written board examinations. Recently, these questions have also served as b... read more 

UNLABELLED: Single-cell RNA sequencing (scRNA-seq) technology enables researchers to explore heterogeneity of diverse cell types within complex tissues at the single-cell resolution. Cell annotation, as a crucial step in scRNA-seq data analysis, prov... read more 

Although artificial intelligence-particularly large-language models-receives daily attention, the application of AI to image-recognition challenges in clinical microbiology has been under development for several years. In the accompanying article, B.... read more