Artificial Intelligence Medical Compendium

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

Showing 46,591 to 46,600 of 224,199 articles

Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification

arXiv Feb 27, 2026
Vision-language models (VLMs) show promise in drafting radiology reports, yet they frequently suffer from logical inconsistencies, generating diagnostic impressions unsupported by their own perceptual findings or missing logically entailed conclusion... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LO

AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation

arXiv Feb 27, 2026
The expansion of retrieval-augmented generation (RAG) into multimodal domains has intensified the challenge for processing complex visual documents, such as financial reports. While page-level chunking and retrieval is a natural starting point, it cr... read more 
Computer Vision and Pattern Recognition cs.CL

Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation

arXiv Feb 27, 2026
Decoupled dataset distillation (DD) compresses large corpora into a few synthetic images by matching a frozen teacher's statistics. However, current residual-matching pipelines rely on static real patches, creating a fit-complexity gap and a pull-to-... read more 
Computer Vision and Pattern Recognition

HumanOrbit: 3D Human Reconstruction as 360° Orbit Generation

arXiv Feb 27, 2026
We present a method for generating a full 360° orbit video around a person from a single input image. Existing methods typically adapt image-based diffusion models for multi-view synthesis, but yield inconsistent results across views and with the ori... read more 
Computer Vision and Pattern Recognition

What You Read is What You Classify: Highlighting Attributions to Text and Text-Like Inputs

arXiv Feb 27, 2026
At present, there are no easily understood explainable artificial intelligence (AI) methods for discrete token inputs, like text. Most explainable AI techniques do not extend well to token sequences, where both local and global features matter, becau... read more 
Machine Learning q-bio.GN

RAViT: Resolution-Adaptive Vision Transformer

arXiv Feb 27, 2026
Vision transformers have recently made a breakthrough in computer vision showing excellent performance in terms of precision for numerous applications. However, their computational cost is very high compared to alternative approaches such as Convolut... read more 
Computer Vision and Pattern Recognition cs.LG

Manifold-Preserving Superpixel Hierarchies and Embeddings for the Exploration of High-Dimensional Images

arXiv Feb 27, 2026
High-dimensional images, or images with a high-dimensional attribute vector per pixel, are commonly explored with coordinated views of a low-dimensional embedding of the attribute space and a conventional image representation. Nowadays, such images c... read more 
Computer Vision and Pattern Recognition

GeoDiff4D: Geometry-Aware Diffusion for 4D Head Avatar Reconstruction

arXiv Feb 27, 2026
Reconstructing photorealistic and animatable 4D head avatars from a single portrait image remains a fundamental challenge in computer vision. While diffusion models have enabled remarkable progress in image and video generation for avatar reconstruct... read more 
Computer Vision and Pattern Recognition

A Mixed Diet Makes DINO An Omnivorous Vision Encoder

arXiv Feb 27, 2026
Pre-trained vision encoders like DINOv2 have demonstrated exceptional performance on unimodal tasks. However, we observe that their feature representations are poorly aligned across different modalities. For instance, the feature embedding for an RGB... read more 
Computer Vision and Pattern Recognition cs.AI

A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification

arXiv Feb 27, 2026
Despite advances in machine learning-based medical image classifiers, the safety and reliability of these systems remain major concerns in practical settings. Existing auditing approaches mainly rely on unimodal features or metadata-based subgroup an... read more 
Computer Vision and Pattern Recognition cs.LG
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