Artificial Intelligence Medical Compendium

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

Showing 56,541 to 56,550 of 226,846 articles

VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration

arXiv Jan 30, 2026
Multimodal large language models (MLLMs) suffer from high computational costs due to excessive visual tokens, particularly in high-resolution and video-based scenarios. Existing token reduction methods typically focus on isolated pipeline components ... read more 
Computer Vision and Pattern Recognition

Fire on Motion: Optimizing Video Pass-bands for Efficient Spiking Action Recognition

arXiv Jan 30, 2026
Spiking neural networks (SNNs) have gained traction in vision due to their energy efficiency, bio-plausibility, and inherent temporal processing. Yet, despite this temporal capacity, most progress concentrates on static image benchmarks, and SNNs sti... read more 
Computer Vision and Pattern Recognition cs.AI

Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation

arXiv Jan 30, 2026
Consistency models have been proposed for fast generative modeling, achieving results competitive with diffusion and flow models. However, these methods exhibit inherent instability and limited reproducibility when training from scratch, motivating s... read more 
Machine Learning cs.CV

Visual Personalization Turing Test

arXiv Jan 30, 2026
We introduce the Visual Personalization Turing Test (VPTT), a new paradigm for evaluating contextual visual personalization based on perceptual indistinguishability, rather than identity replication. A model passes the VPTT if its output (image, vide... read more 
Computer Vision and Pattern Recognition

OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection

arXiv Jan 30, 2026
Zero-shot out-of-vocabulary detection (ZS-OOVD) aims to accurately recognize objects of in-vocabulary (IV) categories provided at zero-shot inference, while simultaneously rejecting undefined ones (out-of-vocabulary, OOV) that lack corresponding cate... read more 
Computer Vision and Pattern Recognition

PEAR: Pixel-aligned Expressive humAn mesh Recovery

arXiv Jan 30, 2026
Reconstructing detailed 3D human meshes from a single in-the-wild image remains a fundamental challenge in computer vision. Existing SMPLX-based methods often suffer from slow inference, produce only coarse body poses, and exhibit misalignments or un... read more 
Computer Vision and Pattern Recognition cs.AI

Bi-MCQ: Reformulating Vision-Language Alignment for Negation Understanding

arXiv Jan 30, 2026
Recent vision-language models (VLMs) achieve strong zero-shot performance via large-scale image-text pretraining and have been widely adopted in medical image analysis. However, existing VLMs remain notably weak at understanding negated clinical stat... read more 
Computer Vision and Pattern Recognition cs.LG

Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI

arXiv Jan 30, 2026
Machine learning (ML) in medicine has transitioned from research to concrete applications aimed at supporting several medical purposes like therapy selection, monitoring and treatment. Acceptance and effective adoption by clinicians and patients, as ... read more 
Machine Learning

Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling

arXiv Jan 30, 2026
IR-drop is a critical power integrity challenge in modern VLSI designs that can cause timing degradation, reliability issues, and functional failures if not detected early in the design flow. Conventional IR-drop analysis relies on physics-based sign... read more 
Machine Learning cs.AI cs.AR eess.IV

A Unified Study of LoRA Variants: Taxonomy, Review, Codebase, and Empirical Evaluation

arXiv Jan 30, 2026
Low-Rank Adaptation (LoRA) is a fundamental parameter-efficient fine-tuning method that balances efficiency and performance in large-scale neural networks. However, the proliferation of LoRA variants has led to fragmentation in methodology, theory, c... read more 
Machine Learning cs.CL
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