Artificial Intelligence Medical Compendium

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

Showing 25,481 to 25,490 of 217,759 articles

Advancing Ligand-based Virtual Screening and Molecular Generation with Pretrained Molecular Embedding Distance

arXiv Apr 27, 2026
Molecular similarity plays a central role in ligand-based drug discovery, such as virtual screening, analog searching, and goal-directed molecular generation. However, traditional similarity measures, ranging from fingerprint-based Tanimoto coefficie... read more 
Machine Learning

Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data

arXiv Apr 27, 2026
Computer-Aided Design (CAD) models are defined by their construction history: a parametric recipe that encodes design intent. However, existing large-scale 3D datasets predominantly consist of boundary representations (B-Reps) or meshes, stripping aw... read more 
Computer Vision and Pattern Recognition

CA-IDD: Cross-Attention Guided Identity-Conditional Diffusion for Identity-Consistent Face Swapping

arXiv Apr 27, 2026
Face swapping aims to optimize realistic facial image generation by leveraging the identity of a source face onto a target face while preserving pose, expression, and context. However, existing methods, especially GAN-based methods, often struggle to... read more 
Computer Vision and Pattern Recognition

Self-Supervised Representation Learning via Hyperspherical Density Shaping

arXiv Apr 27, 2026
Modern self-supervised representation learning methods often relies on empirical heuristics that are not theoretically grounded. In this study we propose HyDeS, a theoretically grounded method based on multi-view mutual information maximization withi... read more 
Computer Vision and Pattern Recognition

MIMIC: A Generative Multimodal Foundation Model for Biomolecules

arXiv Apr 27, 2026
Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained within one modality or for a fixed forward task. We present MIMIC, a gener... read more 
Artificial Intelligence cs.LG

Point Cloud Registration for Fusion between SPECT MPI and CTA Images

arXiv Apr 27, 2026
Clinical fusion of Single Photon Emission Computed Tomography Myocardial Perfusion Imaging (SPECT MPI) and Computed Tomography Angiography (CTA) remains limited by cross-modality misregistration and reliance on manual landmarks, which can hinder accu... read more 
Computer Vision and Pattern Recognition

Dialysis Risk Prediction and Treatment Effect Estimation for AKI patients using Longitudinal Electronic Health Records

arXiv Apr 27, 2026
Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clinicians need evidence on how medication exposures influence downstream risk. We constructed a fixed-window EHR cohort (90-day observation, 730-day predi... read more 
Machine Learning

Diffusion Model as a Generalist Segmentation Learner

arXiv Apr 27, 2026
Diffusion models are primarily trained for image synthesis, yet their denoising trajectories encode rich, spatially aligned visual priors. In this paper, we demonstrate that these priors can be utilized for text-conditioned semantic and open-vocabula... read more 
Computer Vision and Pattern Recognition

Improving Vision-language Models with Perception-centric Process Reward Models

arXiv Apr 27, 2026
Recent advancements in reinforcement learning with verifiable rewards (RLVR) have significantly improved the complex reasoning ability of vision-language models (VLMs). However, its outcome-level supervision is too coarse to diagnose and correct erro... read more 
Computer Vision and Pattern Recognition

Point-MF: One-step Point Cloud Generation from a Single Image via Mean Flows

arXiv Apr 27, 2026
Single-image point cloud reconstruction must infer complete 3D geometry, including occluded parts, from a single RGB image. While diffusion-based reconstructors achieve high accuracy, they typically require many denoising iterations, resulting in slo... read more 
Computer Vision and Pattern Recognition
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