Artificial Intelligence Medical Compendium

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

Showing 64,171 to 64,180 of 231,309 articles

Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores

arXiv Jan 15, 2026
Real-time image segmentation is a key enabler for AR/VR, robotics, drones, and autonomous systems, where tight accuracy, latency, and energy budgets must be met on resource-constrained edge devices. While U-Net offers a favorable balance of accuracy ... read more 
Computer Vision and Pattern Recognition cs.LG

LTV-YOLO: A Lightweight Thermal Object Detector for Young Pedestrians in Adverse Conditions

arXiv Jan 15, 2026
Detecting vulnerable road users (VRUs), particularly children and adolescents, in low light and adverse weather conditions remains a critical challenge in computer vision, surveillance, and autonomous vehicle systems. This paper presents a purpose-bu... read more 
Computer Vision and Pattern Recognition

The Spatial Blindspot of Vision-Language Models

arXiv Jan 15, 2026
Vision-language models (VLMs) have advanced rapidly, but their ability to capture spatial relationships remains a blindspot. Current VLMs are typically built with contrastive language-image pretraining (CLIP) style image encoders. The training recipe... read more 
Computer Vision and Pattern Recognition

DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis

arXiv Jan 15, 2026
Parkinson's disease (PD) and Alzheimer's disease (AD) are the two most prevalent and incurable neurodegenerative diseases (NDs) worldwide, for which early diagnosis is critical to delay their progression. However, the high dimensionality of multi-met... read more 
Computer Vision and Pattern Recognition

SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations

arXiv Jan 15, 2026
Large Language Models (LLMs) are increasingly adopted in healthcare to support clinical decision-making, summarize electronic health records (EHRs), and enhance patient care. However, this integration introduces significant privacy and security chall... read more 
Cryptography and Security cs.LG

Disentangled Concept Representation for Text-to-image Person Re-identification

arXiv Jan 15, 2026
Text-to-image person re-identification (TIReID) aims to retrieve person images from a large gallery given free-form textual descriptions. TIReID is challenging due to the substantial modality gap between visual appearances and textual expressions, as... read more 
Computer Vision and Pattern Recognition

UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow

arXiv Jan 15, 2026
Underwater imaging is fundamentally challenging due to wavelength-dependent light attenuation, strong scattering from suspended particles, turbidity-induced blur, and non-uniform illumination. These effects impair standard cameras and make ground-tru... read more 
Computer Vision and Pattern Recognition cs.RO

CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation

arXiv Jan 15, 2026
Recent video generation models have revealed the emergence of Chain-of-Frame (CoF) reasoning, enabling frame-by-frame visual inference. With this capability, video models have been successfully applied to various visual tasks (e.g., maze solving, vis... read more 
Computer Vision and Pattern Recognition cs.AI

Comparative Evaluation of Deep Learning-Based and WHO-Informed Approaches for Sperm Morphology Assessment

arXiv Jan 15, 2026
Assessment of sperm morphological quality remains a critical yet subjective component of male fertility evaluation, often limited by inter-observer variability and resource constraints. This study presents a comparative biomedical artificial intellig... read more 
Machine Learning cs.CV eess.IV q-bio.QM

Adaptive Label Error Detection: A Bayesian Approach to Mislabeled Data Detection

arXiv Jan 15, 2026
Machine learning classification systems are susceptible to poor performance when trained with incorrect ground truth labels, even when data is well-curated by expert annotators. As machine learning becomes more widespread, it is increasingly imperati... read more 
Machine Learning
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