Artificial Intelligence Medical Compendium

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

Showing 31,901 to 31,910 of 220,797 articles

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

On the Robustness of Watermarking for Autoregressive Image Generation

arXiv Apr 13, 2026
The proliferation of autoregressive (AR) image generators demands reliable detection and attribution of their outputs to mitigate misinformation, and to filter synthetic images from training data to prevent model collapse. To address this need, water... read more 
Computer Vision and Pattern Recognition cs.AI cs.CR

The Devil is in the Details -- From OCR for Old Church Slavonic to Purely Visual Stemma Reconstruction

arXiv Apr 13, 2026
The age of artificial intelligence has brought many new possibilities and pitfalls in many fields and tasks. The devil is in the details, and those come to the fore when building new pipelines and executing small practical experiments. OCR and stemma... read more 
Computer Vision and Pattern Recognition

Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

arXiv Apr 13, 2026
Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcomes. In-person interventions are costly and difficult to scale, especial... read more 
Computer Vision and Pattern Recognition cs.HC cs.LG

Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

arXiv Apr 13, 2026
Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcomes. In-person interventions are costly and difficult to scale, especial... read more 
Computer Vision and Pattern Recognition cs.HC cs.LG

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

arXiv Apr 13, 2026
Continuous diffusion models have achieved strong performance across domains such as images. However, in language modeling, prior continuous diffusion language models (DLMs) lag behind discrete counterparts. In this work, we close this gap with LangFl... read more 
Computation and Language cs.LG
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