Artificial Intelligence Medical Compendium

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

Showing 42,261 to 42,270 of 223,853 articles

Adaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions

arXiv Mar 12, 2026
Weakly Supervised Object Localization (WSOL) models enable joint classification and region-of-interest localization in histology images using only image-class supervision. When deployed in a target domain, distributions shift remains a major cause of... read more 
Computer Vision and Pattern Recognition

Unleashing Video Language Models for Fine-grained HRCT Report Generation

arXiv Mar 12, 2026
Generating precise diagnostic reports from High-Resolution Computed Tomography (HRCT) is critical for clinical workflow, yet it remains a formidable challenge due to the high pathological diversity and spatial sparsity within 3D volumes. While Video ... read more 
Computer Vision and Pattern Recognition

Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning

arXiv Mar 12, 2026
Multimodal instruction tuning is often compute-inefficient because training budgets are spread across large mixed image-video pools whose utility is highly uneven. We present Goal-Driven Data Optimization (GDO), a framework that computes six sample d... read more 
Computer Vision and Pattern Recognition cs.LG

CalliMaster: Mastering Page-level Chinese Calligraphy via Layout-guided Spatial Planning

arXiv Mar 12, 2026
Page-level calligraphy synthesis requires balancing glyph precision with layout composition. Existing character models lack spatial context, while page-level methods often compromise brushwork detail. In this paper, we present \textbf{CalliMaster}, a... read more 
Computer Vision and Pattern Recognition

RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution

arXiv Mar 12, 2026
Digital zoom on smartphones relies on learning-based super-resolution (SR) models that operate on RAW sensor images, but obtaining sensor-specific training data is challenging due to the lack of ground-truth images. Synthetic data generation via ``un... read more 
Computer Vision and Pattern Recognition

Probing Length Generalization in Mamba via Image Reconstruction

arXiv Mar 12, 2026
Mamba has attracted widespread interest as a general-purpose sequence model due to its low computational complexity and competitive performance relative to transformers. However, its performance can degrade when inference sequence lengths exceed thos... read more 
Machine Learning

Naïve PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation

arXiv Mar 12, 2026
Text-to-Image (T2I) generation is primarily driven by Diffusion Models (DM) which rely on random Gaussian noise. Thus, like playing the slots at a casino, a DM will produce different results given the same user-defined inputs. This imposes a gambler'... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Addressing Data Scarcity in 3D Trauma Detection through Self-Supervised and Semi-Supervised Learning with Vertex Relative Position Encoding

arXiv Mar 12, 2026
Accurate detection and localization of traumatic injuries in abdominal CT scans remains a critical challenge in emergency radiology, primarily due to severe scarcity of annotated medical data. This paper presents a label-efficient approach combining ... read more 
Computer Vision and Pattern Recognition cs.LG

Learning Pore-scale Multiphase Flow from 4D Velocimetry

arXiv Mar 12, 2026
Multiphase flow in porous media underpins subsurface energy and environmental technologies, including geological CO$_2$ storage and underground hydrogen storage, yet pore-scale dynamics in realistic three-dimensional materials remain difficult to cha... read more 
Machine Learning physics.flu-dyn

Stop Listening to Me! How Multi-turn Conversations Can Degrade Diagnostic Reasoning

arXiv Mar 12, 2026
Patients and clinicians are increasingly using chatbots powered by large language models (LLMs) for healthcare inquiries. While state-of-the-art LLMs exhibit high performance on static diagnostic reasoning benchmarks, their efficacy across multi-turn... read more 
Computation and Language cs.AI cs.LG
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