Artificial Intelligence Medical Compendium

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RATIONALE AND OBJECTIVES: The unprecedented growth of technology and unfiltered information has led to cognitive overload and educational gaps in radiology. Radiologists and trainees often require "just-in-time" educational content while interpreting... read more 

BACKGROUND: Machine learning (ML) is increasingly used for sarcopenia screening, but its added value over conventional models remains uncertain when datasets are moderately sized and predictors are few. We compared logistic regression (LR) with five ... read more 

OBJECTIVE: To develop and validate the first automated deep-learning image-processing framework for pixel-level segmentation of the plantar intrinsic foot muscles (PIMs) in ultrasound (US) images. This approach supports objective and reproducible US-... read more 

In modern peptide drug discovery, the incorporation of noncanonical amino acids (ncAAs) has become a powerful strategy to improve potency and key developability properties, including stability, solubility, and oral bioavailability. This shift has exp... read more 

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Predicting properties from coordinate-category data-sets of vectors paired with categorical information-is fundamental to computational science, manifesting in materials science as predicting formation energies or elastic moduli from crystal structur... read more