Artificial Intelligence Medical Compendium

The morphological diversification of leaf margins reflects the evolutionary reshaping of conserved developmental programs. However, fully deciphering the underlying molecular basis remains challenging due to difficulties in phenotype quantification a... read more 

Background: Evidence comparing endovascular therapy and open surgery for aorto-iliac occlusive disease remains limited, particularly for early complications, resource use, and sex-specific outcomes. Patients and methods: We conducted a retrospective ... read more 

BACKGROUND: Pediatric overweight and obesity (OW/OB) is a major public health concern associated with significant short- and long-term health risks. Primary care is a key setting for early identification and management, yet current approaches face ba... read more 

Solid electrolytes (SEs) are central to next-generation metal batteries, yet their discovery remains constrained by fragmented data, limited transferability of simulations, and slow experimental iteration. Unlike catalysis, where surface reactivity d... read more 

BACKGROUND: Distinct treatment strategies for small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) brain metastases require accurate noninvasive subtyping. PURPOSE: To develop and externally validate a biparametric MRI-based 2.5D mult... read more 

Precise kinetic separation of light hydrocarbons (C2H2, C2H4, C2H6) and CO2 remains challenging due to their overlapping kinetic diameters and subtle host-guest interactions. Here, we rationally functionalized a series of flexible metal-organic frame... read more 

PURPOSE: Socioeconomic deprivation is a profound determinant of health, driving systemic physiological dysregulation that may accelerate biological ageing. Retinal age gap (RAG) is a validated deep-learning-derived biomarker for accelerated ageing an... read more 

Hypertensive disorders of pregnancy (HDP) encompass chronic hypertension, gestational hypertension, preeclampsia, and preeclampsia superimposed on chronic hypertension, affecting about 5% to 10% of pregnancies worldwide and remaining a major cause of... read more 

Artificial intelligence (AI) is increasingly being applied across neuro-oncology domains to analyze complex, high-dimensional, multimodal data. Despite major advances in the biological understanding and classification of CNS tumors, clinical outcomes... read more 

BACKGROUND AND PURPOSE: Assessment of electrophysiological cardiotoxicity in vitro has advanced, yet scalable assays for contractile dysfunction remain limited. BeatVecNet, an interpretable deep-learning framework, classifies drug-induced contractile... read more