Artificial Intelligence Medical Compendium

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

Showing 41,231 to 41,240 of 223,853 articles

DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives

arXiv Mar 17, 2026
Neural reconstructions often trade structure for fidelity, yielding dense and unstructured meshes with irregular topology and weak part boundaries that hinder editing, animation, and downstream asset reuse. We present DualPrim, a compact and structur... read more 
Computer Vision and Pattern Recognition

When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems

arXiv Mar 17, 2026
Generative models are widely used to compensate for class imbalance in AI training pipelines, yet their failure modes under low-data conditions are poorly understood. This paper reports a controlled benchmark comparing three augmentation strategies a... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training

arXiv Mar 17, 2026
Unified Multimodal Models (UMMs) are often constrained by the pre-training of their $\textbf{visual generation components}$, which typically relies on inefficient paradigms and scarce, high-quality text-image paired data. In this paper, we systematic... read more 
Computer Vision and Pattern Recognition

Segmentation-before-Staining Improves Structural Fidelity in Virtual IHC-to-Multiplex IF Translation

arXiv Mar 17, 2026
Multiplex immunofluorescence (mIF) enables simultaneous single-cell quantification of multiple biomarkers within intact tissue architecture, yet its high reagent cost, multi-round staining protocols, and need for specialized imaging platforms limit r... read more 
Computer Vision and Pattern Recognition

AI Application Benchmarking: Power-Aware Performance Analysis for Vision and Language Models

arXiv Mar 17, 2026
Artificial Intelligence (AI) workloads drive a rapid expansion of high-performance computing (HPC) infrastructures and increase their power and energy demands towards a critical level. AI benchmarks representing state-of-the art workloads and their u... read more 
Performance

Early Pre-Stroke Detection via Wearable IMU-Based Gait Variability and Postural Drift Analysis

arXiv Mar 17, 2026
Early identification of individuals at risk of stroke remains a major clinical challenge, as prodromal motor im- pairments are often subtle and transient. In this pilot study, a wearable sensor-based framework is proposed for early pre- stroke risk s... read more 
Neurons and Cognition

360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

arXiv Mar 17, 2026
Multimodal Large Language Models (MLLMs) have shown impressive abilities in understanding and reasoning over conventional images. However, their perception of 360° images remains largely underexplored. Unlike conventional images, 360° images capture ... read more 
Computer Vision and Pattern Recognition cs.AI

KidsNanny: A Two-Stage Multimodal Content Moderation Pipeline Integrating Visual Classification, Object Detection, OCR, and Contextual Reasoning for Child Safety

arXiv Mar 17, 2026
We present KidsNanny, a two-stage multimodal content moderation architecture for child safety. Stage 1 combines a vision transformer (ViT) with an object detector for visual screening (11.7 ms); outputs are routed as text not raw pixels to Stage 2, w... read more 
Computer Vision and Pattern Recognition cs.CR

Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift

arXiv Mar 17, 2026
Predicting drug response in patients from preclinical data remains a major challenge in precision oncology due to the substantial biological gap between in vitro cell lines and patient tumors. Rather than aiming to improve absolute in vitro predictio... read more 
Machine Learning cs.AI q-bio.QM

Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement Learning

arXiv Mar 17, 2026
With the rapid advancement of vision-language models, an increasing number of studies have explored their potential for SVG generation tasks. Although existing approaches improve performance by constructing large-scale SVG datasets and introducing SV... read more 
Computer Vision and Pattern Recognition
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