Artificial Intelligence Medical Compendium

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

Showing 27,061 to 27,070 of 218,547 articles

FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records

arXiv Apr 24, 2026
Feature engineering for Electronic Health Records (EHR) is complicated by irregular observation intervals, variable measurement frequencies, and structural sparsity inherent to clinical time series. Existing automated methods either lack clinical dom... read more 
Machine Learning cs.AI

An Integrated Framework for Explainable, Fair, and Observable Hospital Readmission Prediction: Development and Validation on MIMIC-IV

arXiv Apr 24, 2026
Objective: To propose and retrospectively validate an integrated framework addressing three barriers to clinical translation of readmission prediction: lack of explainability, absence of deployment reliability infrastructure, and inadequate demograph... read more 
Machine Learning

On the Properties of Feature Attribution for Supervised Contrastive Learning

arXiv Apr 24, 2026
Most Neural Networks (NNs) for classification are trained using Cross-Entropy as a loss function. This approach requires the model to have an explicit classification layer. However, there exist alternative approaches, such as Contrastive Learning (CL... read more 
Machine Learning cs.AI

Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models

arXiv Apr 24, 2026
Physical adversarial patch attacks critically threaten pedestrian detection, causing surveillance and autonomous driving systems to miss pedestrians and creating severe safety risks. Despite their effectiveness in controlled settings, existing physic... read more 
Computer Vision and Pattern Recognition

Video Analysis and Generation via a Semantic Progress Function

arXiv Apr 24, 2026
Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, abrupt semantic jumps. To analyze and correct this behavior, we introduc... read more 
Computer Vision and Pattern Recognition

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

arXiv Apr 24, 2026
The emergence of large-scale pretrained foundation models has transformed computer vision, enabling strong performance across diverse downstream tasks. However, their potential for physics-based inverse problems, such as accelerated cardiac MRI recon... read more 
Image and Video Processing cs.CV cs.LG

Useful nonrobust features are ubiquitous in biomedical images

arXiv Apr 24, 2026
We study whether deep networks for medical imaging learn useful nonrobust features - predictive input patterns that are not human interpretable and highly susceptible to small adversarial perturbations - and how these features impact test performance... read more 
Image and Video Processing cs.CV cs.LG

Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting

arXiv Apr 24, 2026
As the demand to integrate Artificial Intelligence into high-stakes environments continues to grow, explaining the reasoning behind neural-network predictions has shifted from a theoretical curiosity to a strict operational requirement. Our work is m... read more 
Machine Learning cs.LG

FlowAnchor: Stabilizing the Editing Signal for Inversion-Free Video Editing

arXiv Apr 24, 2026
We propose FlowAnchor, a training-free framework for stable and efficient inversion-free, flow-based video editing. Inversion-free editing methods have recently shown impressive efficiency and structure preservation in images by directly steering the... read more 
Computer Vision and Pattern Recognition

Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs

arXiv Apr 24, 2026
Self-supervised learning in healthcare has largely relied on invariance-based objectives, which maximize similarity between different views of the same patient. While effective for static anatomy, this paradigm is fundamentally misaligned with clinic... read more 
Machine Learning
Popular Topics
Recent Journals