Artificial Intelligence Medical Compendium

RéSUMé: CONTEXTE: Les grands modèles de langage (LLM) sont de plus en plus utilisés par les patients et les cliniciens pour obtenir des informations médicales, mais leurs performances peuvent évoluer au fil du temps à mesure que les modèles sont mis ... read more 

The rapidly global deployment of COVID-19 mRNA-LNP vaccines established the clinical feasibility of combining RNA medicine with LNP delivery systems, transforming a long-standing experimental concept into a scalable therapeutic modality, previously c... read more 

Laboratories that move from GRCh38 to T2T-CHM13 take on a new callset as well as a new assembly. I asked whether the move changes sex-chromosome genotype summaries, and whether it changes how well classifiers trained on those summaries serve males an... read more 

BACKGROUND: The integration of generative artificial intelligence (GenAI) tools into higher education is rapidly accelerating, yet the educational ecosystem appears largely unprepared for the scale and speed of adoption. Our recent international surv... read more 

Insulin resistance, adiposity, kidney dysfunction, and cardiovascular disease are closely interconnected in middle-aged and older adults and are central to the cardiovascular-kidney-metabolic (CKM) framework. Triglyceride-glucose (TyG)-related indice... read more 

BACKGROUND: Artificial intelligence (AI) is being developed for image acquisition, quantitative tissue assessment, diagnosis, and clinical prediction in rotator cuff tears. The breadth of this literature and its methodological limitations have not be... read more 

This cross-sectional study aimed to compare obesity indicators for predicting insulin resistance using machine learning. Data were obtained from NHANES 2015 to 2018, focusing on a nondiabetic adult population. Insulin resistance was defined as HOMA-I... read more 

BACKGROUND: Polymyxins remain important therapeutic options for the treatment of multidrug-resistant Gram-negative bacterial infections; however, their clinical application is limited by a narrow therapeutic window and a high risk of nephrotoxicity. ... read more 

The integration of large language models into medical education is rapidly transforming pedagogical approaches, particularly in specialized fields like urology. This study aims to evaluate the adoption patterns, perceived efficacy, and significant li... read more 

BACKGROUND: Colorectal cancer (CRC), is a highly prevalent malignant tumor worldwide, and early screening is key to improving its prognosis. Currently, CRC screening research is growing exponentially, but its core research hotspots, evolutionary tren... read more