Artificial Intelligence Medical Compendium

Species delimitation based on genetic data plays a critical role in taxonomy research, particularly for resolving taxonomically complex groups and detecting cryptic diversity. However, few studies have assessed the consistency and reliability of the ... read more 

PURPOSE: Coats disease is a rare, retinal vascular disorder characterized by telangiectasias, aneurysmal dilations, and progressive exudative retinal detachment. Limited understanding of the disease warranted the need to identify controversial issues... read more 

Amid escalating environmental challenges and the global pursuit of carbon neutrality, sustainable pathways for platform chemical synthesis are a critical research priority. Acetic acid, a high-demand compound with extensive industrial applications, i... read more 

This study proposes an improved Shared-Embedding-Enhanced Piecewise Direct Standardization (SE-PDS) algorithm to achieve near-infrared (NIR) spectral transfer across different instruments. Combined with a Random Forest (RF) model, successfully enable... read more 

INTRODUCTION: Artificial intelligence (AI) has emerged as a promising tool to enhance clinical prediction in critically ill patients near the end of life in the intensive care unit (ICU), overcoming the limitations of traditional prognostic scales. A... read more 

Coronary artery disease (CAD) remains a leading driver of cardiovascular mortality, requiring diagnostic systems that deliver high discrimination, stability under class imbalance, and reproducible deployment. This work presents a hybrid pipeline that... read more 

BACKGROUND: International protocols for age estimation in subadults recommend combining different evidence according to tooth and bone maturity by radiographic examination to improve the final assessment. Scant literature could be found that observe,... read more 

Neuroscientific investigations have revealed the presence of regional pathway connections among functional brain areas, as well as the asymmetrical structural characteristics of the left and right hemispheres. These connections, along with their pote... read more 

APT (Advanced Persistent Threat) attacks have become a significant challenge in the field of cybersecurity. Timely and accurate identification and prediction of APT attacks are crucial tasks. This paper proposes a new APT attack prediction method-GA-... read more 

Visual-language models (VLMs) have shown great potential in capturing multimodal information. However, applying prompt learning to VLMs in a federated setting poses two major challenges. Firstly, the non-IID distribution of client data may significan... read more