Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 36,981 to 36,990 of 223,469 articles

Evolution of the Diagnostic Paradigm for Giant Cell Arteritis: From Histopathology to Multi-Modal Imaging Integration Running title: GCA: Histology to Imaging.

The Journal of rheumatology Apr 1, 2026
Giant cell arteritis (GCA) is a systemic vasculitis that predominantly affects mediumand large-sized arteries. Delayed diagnosis may result in irreversible blindness or stroke. Temporal artery biopsy (TAB), historically regarded as the diagnostic gol... read more 

Inverse Design of Metal-Organic Polyhedra through Molecular Fragmentation and Evolutionary Optimisation.

Journal of chemical information and modeling Apr 1, 2026
Reticular materials have come to the fore of chemistry with exceptional potential in applications ranging from CO2 capture and chemical separations to catalysis and drug delivery. However, due to the vast combinatorial space of molecular building blo... read more 

Explainable Deep Learning-Guided Screening of LiNO3-Based Molten-Salt Phase Change Materials for Lithium-Ion Battery Safety.

Analytical chemistry Apr 1, 2026
LiNO3-based high-temperature phase change materials (PCMs), owing to their specific advantages, e.g., high thermal stability and high latent heat, have been recognized as promising candidates for mitigating or preventing thermal runaway in lithium-io... read more 

Manifold topological deep learning for biomedical data.

Nature communications Apr 1, 2026
Recently, topological deep learning (TDL), which integrates algebraic topology with deep neural networks, has achieved significant success in processing point-cloud data and has emerged as a promising paradigm in data science. However, TDL has not be... read more 

An end-to-end generalizable deep learning framework to comprehensively analyze transcriptional regulation.

Nature communications Apr 1, 2026
Genome annotation currently requires performing dozens of molecular assays in hundreds of cell and tissue samples, an expensive endeavor which is impractical to replicate across all species and conditions of interest. Here, we introduce BioSeq2Seq, a... read more 

A fundus image dataset for intelligent diabetic retinopathy system.

Scientific data Apr 1, 2026
Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the global working-age population. At present, deep learning-integrated ultra-wide-field (UWF) image an... read more 

Human-like cognitive generalization for large models via mental representation-guided supervision.

Nature communications Apr 1, 2026
Recent advancements in deep neural networks (DNNs), particularly large-scale language models, have demonstrated remarkable capabilities in image and natural language understanding. Although scaling up model parameters with increasing volume of traini... read more 

A global dataset of reservoir in-situ water levels for hydrological and remote sensing applications.

Scientific data Apr 1, 2026
Reservoirs are fundamental to global water security, and their monitoring increasingly relies on satellite remote sensing. However, the absence of a unified, large-scale in-situ dataset has hindered robust validation and inter-comparison of remote se... read more 

Integrating multi-spectral remote sensing and machine learning for quantifying and mapping heavy metal contamination in the Tarim River Basin, China.

Scientific reports Apr 1, 2026
Heavy metal (HM) contamination in arid inland river basins is intensifying with economic development, posing ongoing ecological and public health risks. Conventional monitoring is constrained by landscape heterogeneity and limited field data, hinderi... read more 

Cross-domain multimodal learning for stress-level prediction: a hybrid deep learning framework integrating independent EEG and facial expression datasets.

Scientific reports Apr 1, 2026
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