Artificial Intelligence Medical Compendium

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

Showing 29,591 to 29,600 of 219,931 articles

Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification

arXiv Apr 19, 2026
Machine learning is becoming increasingly important for nonlinear system identification, including dynamical systems with spatially distributed outputs. However, classical identification and forecasting approaches become markedly less reliable in tur... read more 
Systems and Control cs.LG physics.flu-dyn

PBSBench: A Multi-Level Vision-Language Framework and Benchmark for Hematopathology Whole Slide Image Interpretation

arXiv Apr 19, 2026
Peripheral Blood Smear (PBS) is a critical microscopic examination in hematopathology that yields whole-slide imaging (WSI). Unlike solid tissue pathology, PBS interpretation focuses on individual cell morphologies rather than tissue architecture, ma... read more 
Computer Vision and Pattern Recognition cs.AI

How Much Data is Enough? The Zeta Law of Discoverability in Biomedical Data, featuring the enigmatic Riemann zeta function

arXiv Apr 19, 2026
How much data is enough to make a scientific discovery? As biomedical datasets scale to millions of samples and AI models grow in capacity, progress increasingly depends on predicting when additional data will substantially improve performance. In pr... read more 
Machine Learning cs.AI q-bio.NC

STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments

arXiv Apr 19, 2026
Parkinson's disease (PD) is a progressive disorder in which symptom burden and functional impairment evolve over time, making severity staging essential for clinical monitoring and treatment planning. However, many computational studies emphasize bin... read more 
Machine Learning cs.AI

Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection

arXiv Apr 19, 2026
Root cause analysis (RCA) for time-series anomaly detection is critical for the reliable operation of complex real-world systems. Existing explanation methods often rely on unrealistic feature perturbations and ignore temporal and cross-feature depen... read more 
Machine Learning

BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs

arXiv Apr 19, 2026
Pretrained biomedical vision-language models (VLMs) such as BioMedCLIP perform well on average but often degrade on challenging modalities where inter-class margins are small and acquisition-specific variations are pronounced, especially under few-sh... read more 
Computer Vision and Pattern Recognition

Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Images

arXiv Apr 19, 2026
Sentinel-5P (S5P) plays a critical role in atmospheric monitoring; however, its spatial resolution limits fine-scale analysis. Existing super-resolution (SR) approaches rely on supervised learning with synthetic low-resolution (LR) data, since true h... read more 
Computer Vision and Pattern Recognition

Low Light Image Enhancement Challenge at NTIRE 2026

arXiv Apr 19, 2026
This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this challenge is to identify effective networks capable of producing clearer ... read more 
Computer Vision and Pattern Recognition

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design

arXiv Apr 19, 2026
We introduce RosettaSearch, an inference-time multi-objective optimization approach for protein sequence optimization. We use large language models (LLMs) as a generative optimizer within a search algorithm capable of controlled exploration and explo... read more 
Machine Learning cs.AI q-bio.BM

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior

arXiv Apr 19, 2026
Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scenes, and transitions. However, existing approaches are mostly adapted f... read more 
Computer Vision and Pattern Recognition
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