Artificial Intelligence Medical Compendium

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

Showing 31,631 to 31,640 of 220,544 articles

Finetune Like You Pretrain: Boosting Zero-shot Adversarial Robustness in Vision-language Models

arXiv Apr 13, 2026
Despite their impressive zero-shot abilities, vision-language models such as CLIP have been shown to be susceptible to adversarial attacks. To enhance its adversarial robustness, recent studies finetune the pretrained vision encoder of CLIP with adve... read more 
Computer Vision and Pattern Recognition

Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions

arXiv Apr 13, 2026
We address the problem of tactile localization, where the goal is to identify image regions that share the same material properties as a tactile input. Existing visuo-tactile methods rely on global alignment and thus fail to capture the fine-grained ... read more 
Computer Vision and Pattern Recognition

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

arXiv Apr 13, 2026
Most reward models for visual generation reduce rich human judgments to a single unexplained score, discarding the reasoning that underlies preference. We show that teaching reward models to produce explicit, multi-dimensional critiques before scorin... read more 
Artificial Intelligence cs.LG

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

arXiv Apr 13, 2026
Most reward models for visual generation reduce rich human judgments to a single unexplained score, discarding the reasoning that underlies preference. We show that teaching reward models to produce explicit, multi-dimensional critiques before scorin... read more 
Artificial Intelligence cs.LG

GazeVaLM: A Multi-Observer Eye-Tracking Benchmark for Evaluating Clinical Realism in AI-Generated X-Rays

arXiv Apr 13, 2026
We introduce GazeVaLM, a public eye-tracking dataset for studying clinical perception during chest radiograph authenticity assessment. The dataset comprises 960 gaze recordings from 16 expert radiologists interpreting 30 real and 30 synthetic chest X... read more 
Computer Vision and Pattern Recognition

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge

arXiv Apr 13, 2026
Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is heterogeneous and noisy, and high-quality labels are prohibitively costly to obtain. Self-supervised learning (SSL) can address this by leveraging the... read more 
Computer Vision and Pattern Recognition

LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment

arXiv Apr 13, 2026
While the shortage of explicit action data limits Vision-Language-Action (VLA) models, human action videos offer a scalable yet unlabeled data source. A critical challenge in utilizing large-scale human video datasets lies in transforming visual sign... read more 
Computer Vision and Pattern Recognition cs.RO

Exploring Radiologists' Expectations of Explainable Machine Learning Models in Medical Image Analysis

arXiv Apr 13, 2026
In spite of the strong performance of machine learning (ML) models in radiology, they have not been widely accepted by radiologists, limiting clinical integration. A key reason is the lack of explainability, which ensures that model predictions are u... read more 
Human-Computer Interaction

A Mamba-Based Multimodal Network for Multiscale Blast-Induced Rapid Structural Damage Assessment

arXiv Apr 13, 2026
Accurate and rapid structural damage assessment (SDA) is crucial for post-disaster management, helping responders prioritise resources, plan rescues, and support recovery. Traditional field inspections, though precise, are limited by accessibility, s... read more 
Artificial Intelligence

Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models

arXiv Apr 13, 2026
Occlusion, where target structures are partially hidden by surgical instruments or overlapping tissues, remains a critical yet underexplored challenge for foundation segmentation models in clinical endoscopy. We introduce OccSAM-Bench, a benchmark de... read more 
Computer Vision and Pattern Recognition
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