Artificial Intelligence Medical Compendium

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

Showing 54,491 to 54,500 of 226,183 articles

Continuous Control of Editing Models via Adaptive-Origin Guidance

arXiv Feb 3, 2026
Diffusion-based editing models have emerged as a powerful tool for semantic image and video manipulation. However, existing models lack a mechanism for smoothly controlling the intensity of text-guided edits. In standard text-conditioned generation, ... read more 
Computer Vision and Pattern Recognition cs.GR

PrevizWhiz: Combining Rough 3D Scenes and 2D Video to Guide Generative Video Previsualization

arXiv Feb 3, 2026
In pre-production, filmmakers and 3D animation experts must rapidly prototype ideas to explore a film's possibilities before fullscale production, yet conventional approaches involve trade-offs in efficiency and expressiveness. Hand-drawn storyboards... read more 
Human-Computer Interaction cs.AI cs.CV

Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation

arXiv Feb 3, 2026
Prenatal psychological stress affects 15-25% of pregnancies and increases risks of preterm birth, low birth weight, and adverse neurodevelopmental outcomes. Current screening relies on subjective questionnaires (PSS-10), limiting continuous monitorin... read more 
Quantitative Methods cs.LG

To What Extent Do Token-Level Representations from Pathology Foundation Models Improve Dense Prediction?

arXiv Feb 3, 2026
Pathology foundation models (PFMs) have rapidly advanced and are becoming a common backbone for downstream clinical tasks, offering strong transferability across tissues and institutions. However, for dense prediction (e.g., segmentation), practical ... read more 
Image and Video Processing cs.CV

GPAIR: Gaussian-Kernel-Based Ultrafast 3D Photoacoustic Iterative Reconstruction

arXiv Feb 3, 2026
Although the iterative reconstruction (IR) algorithm can substantially correct reconstruction artifacts in photoacoustic (PA) computed tomography (PACT), it suffers from long reconstruction times, especially for large-scale three-dimensional (3D) ima... read more 
Computer Vision and Pattern Recognition

Vision Transformers for Zero-Shot Clustering of Animal Images: A Comparative Benchmarking Study

arXiv Feb 3, 2026
Manual labeling of animal images remains a significant bottleneck in ecological research, limiting the scale and efficiency of biodiversity monitoring efforts. This study investigates whether state-of-the-art Vision Transformer (ViT) foundation model... read more 
Computer Vision and Pattern Recognition cs.AI

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces

arXiv Feb 3, 2026
The pursuit of optimal trade-offs in high-dimensional search spaces under stringent computational constraints poses a fundamental challenge for contemporary multi-objective optimization. We develop NeuroPareto, a cohesive architecture that integrates... read more 
Machine Learning cs.NE

Causal Discovery for Cross-Sectional Data Based on Super-Structure and Divide-and-Conquer

arXiv Feb 3, 2026
This paper tackles a critical bottleneck in Super-Structure-based divide-and-conquer causal discovery: the high computational cost of constructing accurate Super-Structures--particularly when conditional independence (CI) tests are expensive and doma... read more 
Machine Learning stat.ME

Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science

arXiv Feb 3, 2026
Tokens are discrete representations that allow modern deep learning to scale by transforming high-dimensional data into sequences that can be efficiently learned, generated, and generalized to new tasks. These have become foundational for image and v... read more 
Computer Vision and Pattern Recognition cs.AI cs.CE cs.LG

Grables: Tabular Learning Beyond Independent Rows

arXiv Feb 3, 2026
Tabular learning is still dominated by row-wise predictors that score each row independently, which fits i.i.d. benchmarks but fails on transactional, temporal, and relational tables where labels depend on other rows. We show that row-wise prediction... read more 
Machine Learning
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