Artificial Intelligence Medical Compendium

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

Showing 14,091 to 14,100 of 211,462 articles

AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding

arXiv May 21, 2026
Visual grounding, the task of localizing objects described by natural-language expressions, is a foundational capability for agricultural AI systems, enabling applications such as selective weeding, disease monitoring, and targeted harvesting. Reliab... read more 
Computer Vision and Pattern Recognition cs.AI

Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded Generations

arXiv May 21, 2026
While diffusion models excel at generating high-quality images, their tendency to memorize training data poses significant privacy and copyright risks. In this work, we for the first time identify that memorization induces internal numerical instabil... read more 
Computer Vision and Pattern Recognition

Distributed Image Compression with Multimodal Side Information at Extremely Low Bitrates

arXiv May 21, 2026
Distributed Image Compression (DIC) is crucial for multi-view transmission, especially when operating at extremely low bitrates (< 0.1 bpp). Its core challenge is effectively utilizing side information to achieve high-quality reconstruction under str... read more 
Computer Vision and Pattern Recognition

Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos

arXiv May 21, 2026
Reconstructing 4D (3D+t) cardiac geometry from sparse 2D echocardiography is highly desirable yet fundamentally challenged by geometric ambiguity and temporal discontinuity. To tackle these issues, we propose Echo4DIR, a novel test-time 4D implicit r... read more 
Computer Vision and Pattern Recognition cs.AI

Fine-scale structural information substantially improves mRNA therapeutic stability prediction.

Molecular therapy. Nucleic acids May 21, 2026
The success of COVID-19 mRNA vaccines has made the in-solution stability optimization of mRNAs a key objective. However, we still lack a complete understanding of sequence metrics that influence mRNA in-solution stability. RNA secondary structure pla... read more 

DeepBioGS: a hybrid framework for integrating crop growth modelling with genomic prediction through neural networks

bioRxiv May 21, 2026
Ensuring global food security under rapid climate change demands accelerated genetic gain and breeding strategies that address complex Genotype-by-Environment (GxE) interactions. Traditional genomic selection models often fail to account for novel or... read more 
plant biology

Toward CT-based Tractography: Presurgical White Matter Tract Mapping in Intracerebral Hemorrhage

bioRxiv May 21, 2026
Presurgical mapping of key white matter (WM) fiber tracts is crucial for intracerebral hemorrhage (ICH) surgery, but it currently relies on tractography from diffusion MRI (dMRI), which has limited applicability in urgent or resource-constrained sett... read more 
neuroscience

geneML: Gene annotation across diverse fungal species using deep learning

bioRxiv May 21, 2026
Accurate gene prediction remains a major bottleneck in fungal genomics, where lineage diversity and alternative splicing challenge existing ab initio methods. Here, we present geneML, a deep learning-based gene prediction tool tailored to fungal geno... read more 
bioinformatics

A Systematic Comparison of tTIS Optimization Approaches for Focal Neuromodulation

bioRxiv May 21, 2026
stimulation (tTIS) is a promising non-invasive brain stimulation technique that has the potential to selectively modulate deep brain regions by delivering two high-frequency alternating currents that interfere to produce a low-frequency amplitude-mod... read more 
neuroscience

Explainable AI reveals the quantitative hierarchical architecture of global bird extinction risk

bioRxiv May 21, 2026
Identifying what makes species vulnerable to extinction requires accounting for complex biological and environmental interactions. Due to their high predictive accuracy, machine learning methods have been widely used for these assessments; however, r... read more 
ecology
Popular Topics
Recent Journals