Artificial Intelligence Medical Compendium

Phthalates (PAEs), as ubiquitous persistent organic pollutants and typical endocrine disruptors (EDCs), have been shown in epidemiological studies to be associated with the development of osteosarcoma (OS). However, the molecular mechanisms by which ... read more 

In youth-i.e., adolescents and young adults-mental disorders represent a major burden on well-being and quality of life. This scientometric study aimed to map research trends concerning any mental disorder in youth. We searched the Web of Science Cor... read more 

Immunosenescence represents a core upstream driver of Alzheimer's disease (AD) and Parkinson's disease (PD), exerting its pathological effects through four mechanistically interconnected cascades: chronic inflammatory imbalance mediated by the senesc... read more 

OBJECTIVE: To evaluate the longitudinal stability, reproducibility, and robustness of Adaptive Learning Stability (ALS) within an expanded AI-assisted neurosurgical residency cohort during a 12-month observation cycle. DESIGN: This was a prospective ... read more 

The mechanisms underlying renal cell carcinoma (RCC) progression remain incompletely understood. Here, we identify phytanoyl-CoA dioxygenase domain containing 1 (PHYHD1) as a tumor suppressor that regulates translational homeostasis and RCC progressi... read more 

BACKGROUND: Non-attendance after referral from screening is one of the major challenges for diabetic retinopathy screening programmes in Africa. Artificial intelligence (AI) systems for the identification of diabetic retinopathy can provide point-of-... read more 

Periodic discharges (PDs) and rhythmic delta activity (RDA) are common EEG patterns in critically ill patients that require characterization of lateralization, spatial localization, and frequency. Manual characterization is subjective and time-consum... read more 

Osteoarthritis (OA) is a degenerative joint disease; however, the role of ferroptosis in synovial macrophages remains poorly defined. Here, we integrated single-cell RNA sequencing data from human synovial tissues to systematically characterize cellu... read more 

Artificial intelligence (AI) is increasingly applied to toxicological assessment and health-based exposure limit (HBEL) derivation, offering potential gains in literature retrieval efficiency, methodological consistency, but introducing novel risks s... read more 

AIM: Detecting endoleaks on post-EVAR CT scans, especially in the presence of artifacts caused by embolic agents like Onyx, is a challenging but critical task. In this study, we propose a deep learning-based method for endoleak detection using a sing... read more