Artificial Intelligence Medical Compendium

This scoping review was designed to address the core question: In the field of poststroke hand function rehabilitation, what is the current status of technical application, evidence characteristics, and research gaps of robot-assisted therapy in the ... read more 

INTRODUCTION: Obesity is an established risk factor for chronic kidney disease (CKD). However, excess visceral adipose tissue (VAT) termed visceral obesity (VO) can occur in individuals with normal body mass index (BMI) or overweight. VO is associate... read more 

Early warning systems (EWSs) for detecting disease outbreaks can help make informed public health decisions and organize necessary responses. During the COVID-19 pandemic, several EWSs were proposed that use covariates such as mobility or social medi... read more 

Decoding continuous 3D hand trajectories from electrocorticographic (ECoG) signals holds potential for brain-computer interface (BCI) applications. However, inter-session variability poses a major challenge for generalization. In this study, we propo... read more 

BACKGROUND: Penile curvature (PC) may occur in up to 10 % of male births worldwide and is typically associated with the birth defect hypospadias. While the extent of PC impacts surgical management and patient outcomes, curvature evaluation is inconsi... read more 

Self-healing polyurethanes (PUs) exhibit an inherent trade-off between mechanical strength and self-healing efficiency. Although optimizing the feed ratio can address the above limitations, identifying an appropriate ratio through trial-and-error is ... read more 

Accurate assessment of the effects of mutations on protein-protein interactions (PPIs) is crucial for understanding disease pathogenesis and the development of targeted therapies. Here, we present DSSA-PPI, a hybrid deep learning framework that enhan... read more 

Artificial intelligence is transforming obstetric practice through applications in diagnostic imaging, risk prediction, and clinical decision-making. Deep learning algorithms have achieved diagnostic accuracy comparable to that of experienced clinici... read more 

Congenital heart disease (CHD) is the most common major birth anomaly and a key cause of neonatal mortality. While early diagnosis improves outcomes, prenatal detection remains inconsistent. Artificial intelligence (AI) offers scalable solutions thro... read more 

read more