Artificial Intelligence Medical Compendium

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

Showing 47,741 to 47,750 of 224,199 articles

Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device

arXiv Feb 23, 2026
Unified multimodal models can both understand and generate visual content within a single architecture. Existing models, however, remain data-hungry and too heavy for deployment on edge devices. We present Mobile-O, a compact vision-language-diffusio... read more 
Computer Vision and Pattern Recognition

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning

arXiv Feb 23, 2026
Recently, TabPFN has gained attention as a foundation model for tabular data. However, it struggles to integrate heterogeneous modalities such as images and text, which are common in domains like healthcare and marketing, thereby limiting its applica... read more 
Machine Learning cs.AI

Exploring Anti-Aging Literature via ConvexTopics and Large Language Models

arXiv Feb 23, 2026
The rapid expansion of biomedical publications creates challenges for organizing knowledge and detecting emerging trends, underscoring the need for scalable and interpretable methods. Common clustering and topic modeling approaches such as K-means or... read more 
Machine Learning cs.AI cs.CL

De-rendering, Reasoning, and Repairing Charts with Vision-Language Models

arXiv Feb 23, 2026
Data visualizations are central to scientific communication, journalism, and everyday decision-making, yet they are frequently prone to errors that can distort interpretation or mislead audiences. Rule-based visualization linters can flag violations,... read more 
Computer Vision and Pattern Recognition

Discrete Diffusion with Sample-Efficient Estimators for Conditionals

arXiv Feb 23, 2026
We study a discrete denoising diffusion framework that integrates a sample-efficient estimator of single-site conditionals with round-robin noising and denoising dynamics for generative modeling over discrete state spaces. Rather than approximating a... read more 
Machine Learning stat.ML

Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation

arXiv Feb 23, 2026
High-fidelity computational models of cardiac mechanics provide mechanistic insight into the heart function but are computationally prohibitive for routine clinical use. Surrogate models can accelerate simulations, but generalization across diverse a... read more 
Machine Learning cs.AI math.NA

Inspectorch: Efficient rare event exploration in solar observations

arXiv Feb 23, 2026
The Sun is observed in unprecedented detail, enabling studies of its activity on very small spatiotemporal scales. However, the large volume of data collected by our telescopes cannot be fully analyzed with conventional methods. Popular machine learn... read more 
Solar and Stellar Astrophysics cs.CV

An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models

arXiv Feb 23, 2026
Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes from clinical notes is labor-intensive and difficult to scale. Existing artificial intelligence approaches typically optimize individual components of ... read more 
Artificial Intelligence cs.CL cs.LG

GSNR: Graph Smooth Null-Space Representation for Inverse Problems

arXiv Feb 23, 2026
Inverse problems in imaging are ill-posed, leading to infinitely many solutions consistent with the measurements due to the non-trivial null-space of the sensing matrix. Common image priors promote solutions on the general image manifold, such as spa... read more 
Computer Vision and Pattern Recognition eess.IV math.OC

BiRQA: Bidirectional Robust Quality Assessment for Images

arXiv Feb 23, 2026
Full-Reference image quality assessment (FR IQA) is important for image compression, restoration and generative modeling, yet current neural metrics remain slow and vulnerable to adversarial perturbations. We present BiRQA, a compact FR IQA metric mo... read more 
Computer Vision and Pattern Recognition
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