Artificial Intelligence Medical Compendium

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

Showing 481 to 490 of 213,137 articles

The Mechanism Matters: When Knowledge Graphs Help Reinforcement Learning

arXiv Jul 21, 2026
Knowledge graphs (KGs) are widely used to inject prior knowledge into reinforcement learning (RL), yet the literature is dominated by single-domain, positive-result method papers, so we lack a systematic account of when KG structure helps an agent, w... read more 
Machine Learning

Causal dictionary learning reveals and validates transcription-factor binding features in genomic language models

arXiv Jul 21, 2026
Genomic language models achieve strong performance across regulatory-genomics tasks, yet what these models internally represent remains opaque, and the field lacks a principled procedure for verifying that an apparent ``concept'' inside a model is re... read more 
Genomics cs.AI cs.LG

Pathologist Attention-Aligned Report Generation for Prostate Histopathology

arXiv Jul 21, 2026
The allocation of visual attention by pathologists during cancer diagnosis is a highly selective process that critically shapes the information extracted from whole-slide images (WSIs). Human attention helps medical imaging tasks such as classificati... read more 
Computer Vision and Pattern Recognition

BRIDGE: Bottleneck-Aware Regulator-Set Inference and Diagnosis for Cooperative Gene Regulatory Recovery

arXiv Jul 21, 2026
Cooperative gene regulation often depends on groups of regulators acting jointly, but most gene regulatory network (GRN) inference methods output pairwise regulator-target rankings. We introduce Bottleneck-Aware Regulator-Set Inference and Diagnosis ... read more 
Machine Learning

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning

arXiv Jul 21, 2026
Machine unlearning for vision-language models (VLMs) remains underexplored. Unlike language models, VLMs combine a language backbone with visual components, which makes unlearning more complex. There is a surprising phenomenon when moving from single... read more 
Computation and Language cs.LG

Norm or Direction? Decoding Vision Mambas for High-Resolution Vision

arXiv Jul 21, 2026
Vision Mamba models replace quadratic self-attention with linear complexity selective state space models (SSMs), emerging as efficient visual backbones. However, MambaOut demonstrates that a Gated CNN block can match or exceed VMamba on image classif... read more 
Computer Vision and Pattern Recognition cs.AI

Seeing Before Generating: Object Perception Enhances Single-View 3D Reconstruction

arXiv Jul 21, 2026
The relationship between object perception and reconstruction is well established in human vision, yet remains underexplored in computer vision. In this paper, we demonstrate that learnt object perception can significantly enhance 3D reconstruction. ... read more 
Computer Vision and Pattern Recognition

DeforM: Reasoning-Guided Physics-Aware Video Generation via Spatial-Temporal Masking

arXiv Jul 21, 2026
Video generation models achieve high visual quality but often struggle to generate physics-aware videos. Unlike rigid-body motion, which can be described by explicit trajectories or formulas, complex deformation dynamics remain challenging to synthes... read more 
Computer Vision and Pattern Recognition

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts

arXiv Jul 21, 2026
Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objects with missing parts present a unique challenge for VLMs, stemming from both real-world knowledge bias and the scarcity of such images in training da... read more 
Computer Vision and Pattern Recognition

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts

arXiv Jul 21, 2026
Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objects with missing parts present a unique challenge for VLMs, stemming from both real-world knowledge bias and the scarcity of such images in training da... read more 
Computer Vision and Pattern Recognition
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