Artificial Intelligence Medical Compendium

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

Showing 31,671 to 31,680 of 220,544 articles

LRD-Net: A Lightweight Real-Centered Detection Network for Cross-Domain Face Forgery Detection

arXiv Apr 13, 2026
The rapid advancement of diffusion-based generative models has made face forgery detection a critical challenge in digital forensics. Current detection methods face two fundamental limitations: poor cross-domain generalization when encountering unsee... read more 
Computer Vision and Pattern Recognition

EviRCOD: Evidence-Guided Probabilistic Decoding for Referring Camouflaged Object Detection

arXiv Apr 13, 2026
Referring Camouflaged Object Detection (Ref-COD) focuses on segmenting specific camouflaged targets in a query image using category-aligned references. Despite recent advances, existing methods struggle with reference-target semantic alignment, expli... read more 
Computer Vision and Pattern Recognition

Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance

arXiv Apr 13, 2026
AI-based image reconstruction models are increasingly deployed in clinical workflows to improve image quality from noisy data, such as low-dose X-rays or accelerated MRI scans. However, these models are typically evaluated using pixel-level metrics l... read more 
Computer Vision and Pattern Recognition cs.AI

TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation

arXiv Apr 13, 2026
Medical image segmentation remains challenging due to limited fine-grained annotations, complex anatomical structures, and image degradation from noise, low contrast, or illumination variation. We propose TAMISeg, a text-guided segmentation framework... read more 
Computer Vision and Pattern Recognition

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding

arXiv Apr 13, 2026
Ultrasound acquisition requires skilled probe manipulation and real-time adjustments. Vision-language models (VLMs) could enable autonomous ultrasound systems, but existing benchmarks evaluate only static images, not dynamic procedural understanding.... read more 
Computer Vision and Pattern Recognition cs.AI

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding

arXiv Apr 13, 2026
Ultrasound acquisition requires skilled probe manipulation and real-time adjustments. Vision-language models (VLMs) could enable autonomous ultrasound systems, but existing benchmarks evaluate only static images, not dynamic procedural understanding.... read more 
Computer Vision and Pattern Recognition cs.AI

AmodalSVG: Amodal Image Vectorization via Semantic Layer Peeling

arXiv Apr 13, 2026
We introduce AmodalSVG, a new framework for amodal image vectorization that produces semantically organized and geometrically complete SVG representations from natural images. Existing vectorization methods operate under a modal paradigm: tracing onl... read more 
Computer Vision and Pattern Recognition

Progressive Deep Learning for Automated Spheno-Occipital Synchondrosis Maturation Assessment

arXiv Apr 13, 2026
Accurate assessment of spheno-occipital synchondrosis (SOS) maturation is a key indicator of craniofacial growth and a critical determinant for orthodontic and surgical timing. However, SOS staging from cone-beam CT (CBCT) relies on subtle, continuou... read more 
Computer Vision and Pattern Recognition cs.LG

Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal Models

arXiv Apr 13, 2026
Unified multimodal models (UMMs) were designed to combine the reasoning ability of large language models (LLMs) with the generation capability of vision models. In practice, however, this synergy remains elusive: UMMs fail to transfer LLM-like reason... read more 
Computer Vision and Pattern Recognition cs.AI

Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation

arXiv Apr 13, 2026
Fully supervised Video Semantic Segmentation (VSS) relies heavily on densely annotated video data, limiting practical applicability. Alternatively, applying pre-trained Image Semantic Segmentation (ISS) models frame-by-frame avoids annotation costs b... read more 
Computer Vision and Pattern Recognition
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