Artificial Intelligence Medical Compendium

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

Showing 841 to 850 of 213,401 articles

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation

arXiv Jul 20, 2026
Neural simulation-based inference enables parameter estimation for complex models, but typically requires the user to specify a simulator encoding a fixed model structure. We present a framework for joint model selection and parameter estimation that... read more 
Machine Learning stat.ML

Hierarchy-Aware and Anatomy-Guided Learning for Lung Ultrasound Video Classification

arXiv Jul 20, 2026
Lung ultrasound (LUS) is a bedside tool for assessing pulmonary edema in patients at risk due to heart failure or impaired kidney function. However, automated LUS analysis remains challenging because of speckle noise, imaging artifacts, and operator-... read more 
Computer Vision and Pattern Recognition cs.AI

COLIP-2: Olfaction-Vision-Language Embeddings

arXiv Jul 20, 2026
The Contrastive Olfaction-Language-Image Pre-training 2 (COLIP-2) model is a multimodal embeddings space that places olfaction as a first-class citizen among vision and language. Molecular structure, gas-sensor readings, odor-descriptor language, and... read more 
Robotics cs.AI cs.ET cs.LG

AGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models

arXiv Jul 20, 2026
Group Relative Policy Optimization (GRPO) is a powerful reinforcement learning algorithm for aligning generative models with human preferences. While successful in large language models~\cite{shao2024deepseekmathpushinglimitsmathematical}, its extens... read more 
Machine Learning cs.CV eess.SY

Scalable Model-Assisted Multi-Target Estimation in Large Image Collections

arXiv Jul 20, 2026
Computer vision models are increasingly used as measurement tools to estimate population-level quantities from large image collections, but prediction errors introduce bias and the resulting estimates lack statistical guarantees required in scientifi... read more 
Computer Vision and Pattern Recognition

Pixel-Space Diffusion Transformers

arXiv Jul 20, 2026
Latent diffusion models (LDMs) enable efficient high-resolution image synthesis by denoising in a VAE-compressed latent space. However, fixed visual tokenizers can discard fine textures and structural details, while separate representation and diffus... read more 
Computer Vision and Pattern Recognition

Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion

arXiv Jul 20, 2026
Accurate protein-ligand binding affinity prediction is central to computational drug discovery, yet modern docking engines frequently disagree without indicating which prediction to trust. Consensus scoring and ensemble methods improve mean accuracy ... read more 
Machine Learning cs.AI

Semantic Color Naturalness Breaker: Preventing Illegitimate Colorization via Content-Aware Color Priors

arXiv Jul 20, 2026
Automatic image colorization enables large-scale and low-cost reuse of grayscale media (e.g., manga panels and archival photographs), facilitating unauthorized reuse and redistribution. Once released online, grayscale content can be readily turned in... read more 
Computer Vision and Pattern Recognition cs.LG

Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation

arXiv Jul 20, 2026
Multi-exposure fusion (MEF) expands the luminance range beyond what a single exposure can capture. Combining images taken at different exposure levels requires handling geometric differences while naturally merging their complementary brightness info... read more 
Computer Vision and Pattern Recognition cs.AI

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution

arXiv Jul 20, 2026
Continuous diffusion models have become the dominant paradigm for photo-realistic image Super-Resolution (SR), but they typically formulate reconstruction as continuous signal-level denoising and incorporate semantic priors through external condition... read more 
Computer Vision and Pattern Recognition
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