Artificial Intelligence Medical Compendium

Optical neural networks (ONNs) have emerged as promising architectures for vision tasks due to their inherent parallelism and potential low energy consumption. Currently, achieving reconfigurable nonlinear optical activation with high responsiveness ... read more 

BACKGROUND: The Ventral Rectopexy International Expert Panel recently published a consensus update on ventral rectopexy. The ability of large language models to synthesize the literature on ventral rectopexy without an explicit knowledge base was stu... read more 

Hereditary cancer syndromes are associated with up to 25% of ovarian and 5% of endometrial cancers, yet rates of genetic testing and counseling remain low. Artificial intelligence (AI) offers new opportunities to streamline risk assessment, enhance g... read more 

Rational catalyst design remains a significant challenge, with electronic structure, steric, and electrostatic effects known to contribute to activity. Recently, dynamics has been recognized as another factor that impacts catalysis, though identifyin... read more 

Prediction of pharmacokinetic (PK) properties is essential for early drug candidate screening and dosage regimen optimization. In recent years, using machine learning/deep learning approaches for predicting pharmacokinetic properties directly from ch... read more 

Cellular communication via ligand-receptor signaling regulates downstream gene expression networks, playing a vital role in maintaining cellular functions and driving disease progression. However, the current methods do not account for the synergisti... read more 

The interpretability of GNNs (Graph Neural Network Models) has always been a focal point in the field of compound property prediction. GNNs perform well in modeling small-sample compound data sets, but current interpretable methods struggle to accura... read more 

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OBJECTIVES: Amyloid-lowering immunotherapies can cause amyloid-related imaging abnormalities (ARIA), requiring brain MRI for detection and monitoring. The European Society of Neuroradiology (ESNR)/European Academy of Neurology (EAN) ARIA Working Grou... read more 

OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS) 3 observations on contrast-enhanced MRI in cirrhotic patients across multiple international centers, and to identify clinical and imaging predictors... read more