Artificial Intelligence Medical Compendium

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

Showing 17,191 to 17,200 of 213,726 articles

Can These Views Be One Scene? Evaluating Multiview 3D Consistency when 3D Foundation Models Hallucinate

arXiv May 18, 2026
Multiview 3D evaluation assumes that the images being scored are observations of one static 3D scene. This assumption can fail in NVS and sparse-view reconstruction: inputs or generated outputs may contain artifacts, outlier frames, repeated views, o... read more 
Computer Vision and Pattern Recognition

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation

arXiv May 18, 2026
CNN- and Transformer-based architectures have achieved strong performance in medical image segmentation, but CNNs are limited in modeling long-range dependencies, while Transformers often suffer from quadratic computational and memory complexity. Sta... read more 
Computer Vision and Pattern Recognition

GraSP-VL: Length as a Semantic Granularity Interface for Vision-Language Representations

arXiv May 18, 2026
Frozen vision-language embeddings contain signals at multiple semantic resolutions, from object identity to attributes, relations, and full-caption meaning, but they expose these signals through a fixed-length vector interface. We study whether embed... read more 
Computer Vision and Pattern Recognition

Domain Incremental Learning for Pandemic-Resilient Chest X-Ray Analysis

arXiv May 18, 2026
Deep learning models achieved high accuracy in pneumonia detection from chest X-rays. However, their generalization across clinical domains remains limited due to variations in imaging devices, acquisition protocols, and institutional conditions. Thi... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Divergence-Suppressing Couplings for Rectified Flow

arXiv May 18, 2026
The promise of Rectified Flow rests on producing self-generated couplings whose trajectories are straight, or nearly so. In practice, trajectories generated by the base flow model can bend and intertwine, and the resulting coupling inherits this dist... read more 
Artificial Intelligence cs.LG

A novel NLP-based method and algorithm to discover RNA-binding protein (RBP) motifs, contexts, binding preferences, and interactions.

RNA (New York, N.Y.) May 18, 2026
RNA-binding proteins (RBPs) are essential modulators in the regulation of mRNA processing. The binding patterns, interactions, and functions of most RBPs are not well-characterized. Previous studies have shown that motif context is an important contr... read more 

Machine Learning-Based Prediction of Long-Term Intraocular Pressure Fluctuations in Open-Angle Glaucoma.

Ophthalmology science May 18, 2026
OBJECTIVE: To investigate the predictability of long-term intraocular pressure (IOP) fluctuations in open-angle glaucoma eyes implanted with a telemetric IOP sensor. DESIGN: A prospective, open-label, single-arm, multicenter study. SUBJECTS: Twenty-f... read more 

petVAE: A Data-Driven Model for Identifying Amyloid PET Subgroups Across the Alzheimer's Disease Continuum

bioRxiv May 18, 2026
Amyloid-{beta} (A{beta}) PET imaging is a core biomarker and is sufficient for the biological diagnosis of Alzheimer's disease (AD). Here, we aimed to identify biologically meaningful subgroups across the continuum of A{beta} accumulation using a dat... read more 
bioinformatics

Assessing the reliability of immunofluorescence image analysis with artificial intelligence

medRxiv May 18, 2026
In view of the outstanding progress of machine learning (ML) and growing cost of health systems, it is a current challenge to incorporate artificial intelligence tools into actual medical practice. Here we explored the feasibility and reliability of ... read more 
allergy and immunology

Clinical Note Comparison and Data Retrieval Via Embedding Vectors: Model Selection, Metrics, and Convergence

medRxiv May 18, 2026
Background: Embedding models are an integral part of generative AI architectures, transforming text into embedding vectors that represent semantic content in numerical form. Despite their central role, their performance in clinical settings remains u... read more 
health informatics
Popular Topics
Recent Journals