Artificial Intelligence Medical Compendium

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

Showing 16,111 to 16,120 of 213,568 articles

Challenges of Ontology-Based Concept Normalization for Deep Phenotyping in Rare Skin Diseases.

Studies in health technology and informatics May 21, 2026
Extracting and standardizing phenotypic information from free-text medical reports remains a main challenge in biomedical natural language processing (NLP). Conceptual normalization, which maps textual mentions to standardized vocabularies such as th... read more 

Towards Real-Time Decision Support with LIVIA: Live-Streaming Infrastructure for Vital Sign Inference and Analytics.

Studies in health technology and informatics May 21, 2026
The translation of machine learning (ML) research into clinical practice is slowed by fragmented infrastructure and lack of standardized pipelines. LIVIA provides a platform for real-time ML in intensive care, integrating high-frequency physiological... read more 

Generating synthetic CT from MR images for radiation-free computer-assisted quantification of hip morphology.

European journal of radiology May 21, 2026
OBJECTIVES: To compare MR image-based synthetic CT (sCT) with conventional CT for computer-assisted quantification of hip morphology by evaluating osseous structure segmentation quality and hip morphological parameters. MATERIALS AND METHODS: This re... read more 

Predicting PROTAC degradation activity and selectivity of effective E3 ligase through harnessing a combination of AtomPair fingerprints and multiple machine learning algorithms.

Journal of molecular graphics & modelling May 21, 2026
Proteolysis targeting chimeras (PROTACs) are drugs that recruit target proteins and E3 ligases to leverage the ubiquitin-proteasome system (UPS) for specific degradation of proteins. This approach has received significant attention because of their a... read more 

Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses.

Oncology letters May 21, 2026
The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates antitumor immunity, although the underlying mechanisms remain unclear. The present study investigates the role of polyamine metabolism-related genes ... read more 

Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance

arXiv May 21, 2026
Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challenge in computational imaging, especially under fast motion or low-light conditions. While prior wo... read more 
Computer Vision and Pattern Recognition

Making the Discrete Continuous: Synthetic RAW Augmentations for Fine-Grained Evaluation of Person Detection Performance in Low Light

arXiv May 21, 2026
Real-world deployment of AI vision models is both fueled and limited by the data available for training and testing. Real datasets are sparse and uneven: long-tailed or unbalanced distributions hinder generalization, and the low number of samples in ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG physics.optics

SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data

arXiv May 21, 2026
We propose SADGE, a quantitative similarity metric that predicts the performance of synthetic image datasets for common computer vision tasks without downstream model training. Estimating whether a synthetic dataset will lead to a model that performs... read more 
Computer Vision and Pattern Recognition

BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series

arXiv May 21, 2026
Cross-subject generalization in biomedical time-series refers to training on data from some subjects and testing on unseen subjects.The key challenge is to suppress subject specific variability in BTS representations.Most existing methods implicitly ... read more 
Machine Learning cs.AI

MaSC: A Masked Similarity Metric for Evaluating Concept-Driven Generation

arXiv May 21, 2026
Evaluating single-concept personalization in text-to-image diffusion requires measuring both concept preservation, which captures identity fidelity to a reference, and prompt following, which captures whether the generated scene matches the prompt. E... read more 
Computer Vision and Pattern Recognition
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