Artificial Intelligence Medical Compendium

The discovery of new solid-state ionic conductors remains challenging because ion transport depends sensitively on both mobile-ion chemistry and the host crystal framework. Although atomistic calculations can evaluate migration barriers directly, sim... read more 

Lipid nanoparticles (LNPs) have transformed RNA therapeutics through their high delivery efficiency, scalable manufacturing, and favorable safety profiles, as demonstrated by COVID-19 mRNA vaccines and clinically approved small interfering RNA (siRNA... read more 

Sodium-metal batteries (SMBs) exhibit high theoretical specific capacity and take advantage of sodium's natural abundance and low cost, showing great promise for broad next-generation energy-storage applications. In this review, we summarize the majo... read more 

Mycobacterium avium subsp. paratuberculosis (MAP) causes Johne's disease, a chronic infectious disease of ruminants associated with substantial economic losses in the livestock and dairy industries. Conventional diagnostic methods, including culture,... read more 

Ultrasound assessment of cervical lymph node metastasis in papillary thyroid carcinoma is crucial but suffers from inter-observer variability. Existing deep learning solutions typically use separate single-task pipelines, resulting in parameter redun... read more 

At the 41st Annual Meeting of the International Society for Traumatic Stress Studies, held in Baltimore, Maryland, on September 17-20, 2025, researchers and practitioners worldwide convened to examine issues central to the theme, "Frontiers in Trauma... read more 

BACKGROUND: Machine learning for gait-based cognitive assessment is rarely benchmarked against a mean-prediction null or checked for explanation stability. We evaluated an explainable multimodal model against this null to estimate Montreal Cognitive ... read more 

OBJECTIVE: Soft tissue prediction is of great importance for the surgical design and patients ' satisfaction in orthognathic surgery. Previous studies either rely on elastic mechanical models, such as finite element which involves time-consuming comp... read more 

OBJECTIVE: To develop a diagnostic model for primary Sjögren syndrome (pSS) utilizing transcriptomics-based machine learning techniques, and to explore potential therapeutic targets. METHODS: We selected patients diagnosed with pSS and control subjec... read more 

OBJECTIVE: To designe a clinical trial image medical record desensitization system based on artificial intelligence technology and to conduct preliminary applications, achieving the protection of patient privacy and promoting the safe use of clinical... read more