Artificial Intelligence Medical Compendium

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

Showing 30,101 to 30,110 of 220,100 articles

ASCENT: an active transfer learning paradigm for efficient drug-target interaction prediction.

Science China. Life sciences
Deep learning has made significant progress in drug-target interaction (DTI) prediction. However, most existing approaches are developed using fixed datasets, which limits their applicability and generalizability due to the restricted scale of curren... read more 

Discovery of nitrogen-responsive microbial indicators as metrics of freshwater ecosystem health.

Water research
Microorganisms represent the most taxonomically and functionally diverse components of freshwater environments. Whilst distinct microbial communities exist across freshwater habitats, such as the water column and sediments, epilithic and epiphytic bi... read more 

Digital readiness in nursing education: eHealth literacy, AI attitudes, and associated factors among undergraduate students.

Nurse education today
BACKGROUND: Digital readiness has become a critical competency for future nurses in the evolving landscape of healthcare. Two essential components of this readiness-eHealth literacy and attitudes toward artificial intelligence (AI)-have gained promin... read more 

CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned Autoencoder

arXiv
Latent diffusion models have emerged as powerful generative models in medical imaging, enabling the synthesis of high quality brain magnetic resonance imaging scans. In particular, predicting the evolution of a patients brain can aid in early interve... read more 

SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding

arXiv
Cross-modal retrieval between food images and recipe texts is an important task with applications in nutritional management, dietary logging, and cooking assistance. Existing methods predominantly rely on dual-encoder architectures with separate imag... read more 

Causal Bootstrapped Alignment for Unsupervised Video-Based Visible-Infrared Person Re-Identification

arXiv
VVI-ReID is a critical technique for all-day surveillance, where temporal information provides additional cues beyond static images. However, existing approaches rely heavily on fully supervised learning with expensive cross-modality annotations, lim... read more 

SPLIT: Self-supervised Partitioning for Learned Inversion in Nonlinear Tomography

arXiv
Machine learning has achieved impressive performance in tomographic reconstruction, but supervised training requires paired measurements and ground-truth images that are often unavailable. This has motivated self-supervised approaches, which have pri... read more 

Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline

arXiv
Open-vocabulary remote sensing image segmentation (OVRSIS) remains underexplored due to fragmented datasets, limited training diversity, and the lack of evaluation benchmarks that reflect realistic geospatial application demands. Our previous \textit... read more 

From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark

arXiv
Ultra-high-definition (UHD) image restoration poses unique challenges due to the high spatial resolution, diverse content, and fine-grained structures present in UHD images. To address these issues, we introduce a progressive spectral decomposition f... read more 

CPU Optimization of a Monocular 3D Biomechanics Pipeline for Low-Resource Deployment

arXiv
Markerless 3D movement analysis from monocular video enables accessible biomechanical assessment in clinical and sports settings. However, most research-grade pipelines rely on GPU acceleration, limiting deployment on consumer-grade hardware and in l... read more