Artificial Intelligence Medical Compendium

[This corrects the article DOI: 10.1016/j.isci.2024.108881.]. read more 

Geospatial artificial intelligence (GeoAI) is reshaping our understanding of Earth and urban systems by integrating advanced artificial intelligence techniques with diverse geospatial data and methodologies. This backstory highlights recent GeoAI adv... read more 

ConspectusAccurate equilibrium geometries are fundamental to predictive spectroscopy, reliable thermochemistry, and rational molecular design. Yet achieving high accuracy beyond small molecules remains a formidable challenge. High-level wave function... read more 

Traditional methods for assessing autonomic nervous system (ANS) function are constrained by conventional clinical settings, limited timeframes, and exclusionary protocols. These limitations prevent the accurate capture of dynamic physiological fluct... read more 

BackgroundWhile machine learning (ML) models are increasingly used to predict outcomes in health care, their practical effect on health care operations, such as bed capacity management, remains underexplored. There is a variety of traditionally used ... read more 

Follicular lymphoma (FL), traditionally considered an indolent yet incurable malignancy, is experiencing a substantial evolution in its therapeutic landscape with the emergence of chemo-free treatment strategies. These novel approaches challenge conv... read more 

Estimating the speed of nearby vehicles is essential for driver assistance. A real-time, camera-only pipeline is presented that uses an onboard monocular camera: vehicles are detected and tracked with an off-the-shelf one-stage CNN (YOLOv8); distance... read more 

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BACKGROUND: Discriminating dehydrated carrots is crucial for quality control, energy efficiency, and consumer confidence. Artificial intelligence techniques have revolutionized quality control processes by enabling them to learn, generalize, and rapi... read more 

Protein engineering is experiencing a paradigmatic transformation through the integration of geometric deep learning (GDL) into computational design workflows. While traditional approaches such as rational design and directed evolution have achieved ... read more