Artificial Intelligence Medical Compendium

BackgroundNecrotizing enterocolitis (NEC) is an intestinal ischemic disease that affects preterm infants with fetal growth restriction (FGR). The role of fetal Dopplers in stratifying risk for developing NEC is unclear but the innovative use of machi... read more 

PURPOSE: The purpose of this study was to evaluate the relationship between structural abnormalities on CT and lung function prior to and after initiation of elexacaftor-tezacaftor-ivacaftor (ETI) in adults with cystic fibrosis (CF) using a deep lear... read more 

OBJECTIVE: Failure to rescue (FTR) is a significant quality indicator for postoperative cardiothoracic care. We developed an interpretable artificial intelligence model to identify, interpret, and integrate patient risk factors to predict FTR after c... read more 

BACKGROUND: To develop an artificial intelligence-based predictive model using ankle-brachial index (ABI) dynamic fluctuation patterns and evaluate its predictive value for major adverse limb events (MALEs) in patients with peripheral arterial diseas... read more 

INTRODUCTION: Honey bees are essential managed pollinators faced by nutritional deficiencies which contributes to worldwide colony losses. The integration of nutrition science with genomics offers a powerful approach to optimize honey bee health by a... read more 

Determination of cardiac output (CO) is essential to the clinical management of cardiovascular compromise. However, the invasiveness, procedural risks, and reliance on specialized infrastructure limit accessibility and scalability of standard-of-care... read more 

Accurate prognostic stratification is essential for optimizing postoperative therapeutic strategies in oncology. While deep learning approaches have shown promise for survival prediction through unimodal analyses of histopathological images, transcri... read more 

Gene regulatory networks (GRNs) govern gene expression and cellular identity, but accurately inferring their structure from high-dimensional single-cell RNA sequencing (scRNA-seq) data remains a major challenge. Here, we present EnsembleRegNet, a dee... read more 

BACKGROUND: Cervical cancer remains a significant health concern worldwide, necessitating effective diagnostic methods such as cervical cell image segmentation. This review outlines the challenges and importance of accurately segmenting cervical cell... read more 

Fall represents a significant risk of accidental death among individuals aged over 65, presenting a global health concern. A fall is defined as any event where a person loses balance and moves to an off-position, which may or may not result in an imp... read more