OBJECTIVE: With expanding applications of artificial intelligence technology in the medical field, Large Language Models (LLMs) have achieved substantial success in medical text processing. However, there remain a number of challenges in effectively ... read more
International journal of surgery (London, England)
Jan 23, 2026
BACKGROUND: Survival outcomes in locally advanced gastric cancer remain heterogeneous despite standard treatment and outcome classifications. Visceral adiposity has increasingly emerged as a prognostic factor, yet its mechanistic and clinical utiliza... read more
Histology is an essential, yet difficult, subject to study in medicine. As artificial intelligence (AI) is rapidly evolving with ever-growing image recognition abilities, it presents a great potential to be used in the study of histology. This resear... read more
RNA-RNA interactions (RRIs) are fundamental to gene regulation and RNA processing, yet their molecular determinants remain unclear. In this work, we analyze several large-scale RRI datasets and identify low-complexity repeats (LCRs), including simple... read more
Sign language (SL) is essential for communication among individuals with hearing or speech impairments. Facial emotion recognition plays a crucial role in improving expression analysis and assistive technologies when integrated with SL, specifically ... read more
Perinatal period is a critical time for brain development and premature-born children have an elevated likelihood for neurodevelopmental conditions. While strong associations of structural magnetic resonance imaging with preterm birth and post-menstr... read more
High-dimensional data with left-censored responses are increasingly common in modern applications, yet existing methods for analyzing them are limited. Classical Tobit models fail to handle nonlinear relationships or perform high-dimensional variable... read more
PURPOSE: Recently, the EAU guidelines presented the EAU guidelines bot to assist urologists in the reading of the guidelines; however, up to date, no external validation is available. The aim of our study is to assess the accuracy, completeness, and ... read more
Journal of computer-aided molecular design
Jan 23, 2026
Inhibition of Coagulation Factor X (FXa) is a clinically validated therapeutic strategy; however, developing safer and more selective inhibitors remains a major challenge. In this study, we developed an interpretable machine learning-based QSAR frame... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.