Artificial Intelligence Medical Compendium

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

Showing 64,501 to 64,510 of 231,605 articles

Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images

arXiv Jan 14, 2026
Background: Pneumonia remains a leading cause of morbidity and mortality among children worldwide, emphasizing the need for accurate and efficient diagnostic support tools. Deep learning has shown strong potential in medical image analysis, particula... read more 
Computer Vision and Pattern Recognition cs.AI

NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration

arXiv Jan 14, 2026
Latent diffusion models such as Stable Diffusion 1.5 offer strong generative priors that are highly valuable for image restoration, yet their full pipelines remain too computationally heavy for deployment on edge devices. Existing lightweight variant... read more 
Computer Vision and Pattern Recognition

UniHash: Unifying Pointwise and Pairwise Hashing Paradigms for Seen and Unseen Category Retrieval

arXiv Jan 14, 2026
Effective retrieval across both seen and unseen categories is crucial for modern image retrieval systems. Retrieval on seen categories ensures precise recognition of known classes, while retrieval on unseen categories promotes generalization to novel... read more 
Computer Vision and Pattern Recognition

A pipeline for enabling path-specific causal fairness in observational health data

arXiv Jan 14, 2026
When training machine learning (ML) models for potential deployment in a healthcare setting, it is essential to ensure that they do not replicate or exacerbate existing healthcare biases. Although many definitions of fairness exist, we focus on path-... read more 
Machine Learning cs.AI

MedVL-SAM2: A unified 3D medical vision-language model for multimodal reasoning and prompt-driven segmentation

arXiv Jan 14, 2026
Recent progress in medical vision-language models (VLMs) has achieved strong performance on image-level text-centric tasks such as report generation and visual question answering (VQA). However, achieving fine-grained visual grounding and volumetric ... read more 
Computer Vision and Pattern Recognition cs.AI

The Algorithmic Gaze: An Audit and Ethnography of the LAION-Aesthetics Predictor Model

arXiv Jan 14, 2026
Visual generative AI models are trained using a one-size-fits-all measure of aesthetic appeal. However, what is deemed "aesthetic" is inextricably linked to personal taste and cultural values, raising the question of whose taste is represented in vis... read more 
Human-Computer Interaction cs.AI cs.CV

A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements

arXiv Jan 14, 2026
Despite the ecological significance of invertebrates, global trait databases remain heavily biased toward vertebrates and plants, limiting comprehensive ecological analyses of high-diversity groups like ground beetles. Ground beetles (Coleoptera: Car... read more 
Computer Vision and Pattern Recognition

A one-step generation model with a Single-Layer Transformer: Layer number re-distillation of FreeFlow

arXiv Jan 14, 2026
Currently, Flow matching methods aim to compress the iterative generation process of diffusion models into a few or even a single step, with MeanFlow and FreeFlow being representative achievements of one-step generation based on Ordinary Differential... read more 
Computer Vision and Pattern Recognition

Beyond Accuracy: Evaluating Grounded Visual Evidence in Thinking with Images

arXiv Jan 14, 2026
Despite the remarkable progress of Vision-Language Models (VLMs) in adopting "Thinking-with-Images" capabilities, accurately evaluating the authenticity of their reasoning process remains a critical challenge. Existing benchmarks mainly rely on outco... read more 
Computer Vision and Pattern Recognition

PSSF: Early osteoarthritis detection using physical synthetic knee X-ray scans and AI radiomics models

arXiv Jan 14, 2026
Knee osteoarthritis (OA) is a major cause of disability worldwide and is still largely assessed using subjective radiographic grading, most commonly the Kellgren-Lawrence (KL) scale. Artificial intelligence (AI) and radiomics offer quantitative tools... read more 
Computer Vision and Pattern Recognition cs.LG eess.IV
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