Artificial Intelligence Medical Compendium

This study uses an artificial neural network (ANN) architecture in combination with the Levenberg-Marquardt backpropagation (LMBP) method to investigate the impact of heat radiation on the hybrid nanofluid flow through a variable porous medium beneat... read more 

PURPOSE: Although many factors contribute to the development of hip OA, structural findings, such as acetabular dysplasia, are recognized as strong contributing factors to early degenerative changes. However, conventional two-dimensional imaging cann... read more 

Hepatocytes have been extensively studied in metabolic dysfunction-associated steatotic liver disease (MASLD), yet the role of cholangiocytes remains underexplored. We utilized a comprehensive approach that integrates high-dimensional weighted gene c... read more 

The presence of clinically significant portal hypertension (CSPH) and high-risk esophageal varices (HREV) are major predictors of decompensation and mortality in chronic liver disease. Liver and spleen elastography are validated noninvasive markers o... read more 

Musculoskeletal care is being reshaped by population aging, multimorbidity, frailty, osteoporosis, sarcopenia, polypharmacy and increasing vulnerability to postoperative loss of independence. Artificial intelligence (AI) has entered orthopaedic resea... read more 

Long noncoding RNAs (lncRNAs) are a class of transcripts longer than 200 nucleotides with little or no protein-coding capacity. They represent a substantial fraction of eukaryotic genomes and function as molecular architects that coordinate diverse b... read more 

Prior research has developed a deep and diverse set of methods specifically designed to accommodate reflective latent factors (e.g., structural equation models). A critical limitation of conventional latent variable methods is that they typically ope... read more 

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Hypergraphs, as advanced mathematical constructs, are adept at modeling complex, multi-faceted relationships across diverse disciplines, including data mining, computer vision, and life sciences. Hypergraph Neural Networks (HGNNs) represent a signifi... read more 

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