Artificial Intelligence Medical Compendium

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

Showing 16,201 to 16,210 of 213,568 articles

OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025

arXiv May 21, 2026
Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment holds significant potential to improve surgical training. While machine learning-based methods are i... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning

arXiv May 21, 2026
Multimodal Large Language Model (MLLM)-driven image restoration agent demonstrates effectiveness in degradation coupling scenarios by flexibly selecting tools and determining removal orders. However, their zero-shot planning often fails without exper... read more 
Computer Vision and Pattern Recognition

GALAR-TemporalNet v2: Anatomy-Guided Dual-Branch Temporal Classification with Bidirectional Mamba and Dual-Graph GCN for Video Capsule Endoscopy -- after competition results

arXiv May 21, 2026
Video Capsule Endoscopy (VCE) poses a challenging multi-label temporal classification problem, requiring simultaneous localization of 8 anatomical regions and detection of 9 pathological findings across tens of thousands of frames. We present GALAR-T... read more 
Computer Vision and Pattern Recognition

A Robust Semantic Segmentation Pipeline for the CVPR 2026 8th UG2+ Challenge Track 2

arXiv May 21, 2026
This report presents our solution for the WeatherProof Dataset Challenge, namely CVPR 2026 8th UG2+ Challenge Track 2: Semantic Segmentation in Adverse Weather. For the semantic segmentation task under adverse weather conditions, we propose a semi-su... read more 
Computer Vision and Pattern Recognition

Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies

arXiv May 21, 2026
Predictive modelling is important for health data analysis and data-driven clinical decision-making. However, predictive studies are challenging to design optimally by hand when tens or even hundreds of features require selection, transformation, or ... read more 
Machine Learning cs.AI stat.AP

D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities

arXiv May 21, 2026
Accurate brain tumor segmentation using multiparametric MRI is critical for effective treatment planning. However, in clinical settings, complete acquisition of all MRI sequences is not always possible. The absence of certain MRI modalities results i... read more 
Computer Vision and Pattern Recognition

Direct content-based retrieval from music scores images

arXiv May 21, 2026
The digitization of musical scores plays a crucial role in their preservation and accessibility, yet information retrieval still depends mainly on metadata searches, such as by title or composer. Content based search in music score images remains und... read more 
Computer Vision and Pattern Recognition cs.IR

Impact of Atmospheric Turbulence and Pointing Error on Earth Observation

arXiv May 21, 2026
Earth Observation (EO) imagery is often degraded by atmospheric turbulence and pointing jitter; yet, these effects are rarely considered in datasets used to train AI-based detection models. Based on prior work, this paper presents an enhanced image s... read more 
Networking and Internet Architecture cs.AI cs.CV

Exposing Vulnerabilities in Visible-Infrared VLMs: A Unified Geometric Adversarial Framework with Cross-Task Transferability

arXiv May 21, 2026
Vision-language models (VLMs) have achieved strong performance across diverse multimodal tasks, but their adversarial robustness in visible-infrared (VIS-IR) scenarios remains underexplored. This gap is critical because VIS-IR sensing is widely used ... read more 
Computer Vision and Pattern Recognition

EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes

arXiv May 21, 2026
Text-based counseling is an important interface for AI mental-health support, where transcripts may be used to monitor depression severity and flag sessions requiring timely human review. However, robust PHQ-8 prediction across session regimes remain... read more 
Machine Learning cs.AI
Popular Topics
Recent Journals