Artificial Intelligence Medical Compendium

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

Showing 21,851 to 21,860 of 216,627 articles

Self Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale

arXiv May 7, 2026
Manually curated biomedical repositories -- spanning bioactivity, genomics, and chemistry -- are expensive to maintain, lag behind primary literature, and discard experimental context, obscuring nuances needed to assess data correctness and coverage.... read more 
Machine Learning

Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEE

arXiv May 7, 2026
Modern cybersecurity relies heavily on static machine-learning-based malware classifiers. However, transformations such as packing and other non-semantic modifications applied to executable files limit their reliability. Malware classifiers often lea... read more 
Cryptography and Security cs.LG

Dr-BA: Separable Optimization for Direct Radar Bundle Adjustment & Localization

arXiv May 7, 2026
This paper introduces Dr-BA, a first-of-its-kind radar bundle adjustment (BA) framework that operates directly on 2D spinning radar intensity images. Unlike camera or lidar sensors, radar is largely unaffected by precipitation, making it a critical m... read more 
Robotics cs.CV

A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series

arXiv May 7, 2026
Although tree species classification from Moderate Resolution Imaging Spectroradiometer (MODIS) time series data is critical for supporting various environmental applications, it is a challenging task due to several key difficulties: the subtle signa... read more 
Computer Vision and Pattern Recognition

An extremely coarse feedback signal is sufficient for learning human-aligned visual representations

arXiv May 7, 2026
Artificial neural networks trained on visual tasks develop internal representations resembling those of the primate visual system, a discovery that has guided a decade of computational neuroscience. Research on building brain-aligned models has progr... read more 
Computer Vision and Pattern Recognition

Relaxed Sparsest-Permutation Formulation for Causal Discovery at Scale

arXiv May 7, 2026
Despite the growing availability of large datasets, causal structure learning remains computationally prohibitive at scale. We revisit sparsest-permutation learning for linear structural equation models and show that exact Cholesky factorization is u... read more 
Machine Learning cs.LG

Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing

arXiv May 7, 2026
Edge learning refers to training machine learning models deployed on edge platforms, typically using new data accumulated onboard. The computational limitations on edge devices affect not only model optimisation, but also calculation of the predictiv... read more 
Computer Vision and Pattern Recognition

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation

arXiv May 7, 2026
While Multimodal Large Language Models (MLLMs) are increasingly integrated with Retrieval-Augmented Generation (RAG) to mitigate hallucinations, the introduction of external documents can conceal severe failure modes at the instance level. We identif... read more 
Computation and Language cs.CV cs.LG

Experimental study of soil penetration strategies for earthworm-like robots.

Bioinspiration & biomimetics May 7, 2026
Earthworm-like robots represent a promising alternative to conventional soil investigation tools currently used in geotechnics. Their limited invasiveness and ability to navigate in three-dimensions underground are highly desirable properties. Despit... read more 

[Chapter 6. Ethical issues in transplant matching].

Journal international de bioethique et d'ethique des sciences May 7, 2026
This contribution examines the ethical issues that arise when organ-patient matching is performed using algorithmic matching. The first part reviews the ethical problems present in many phases of the transplant process: who can be considered a potent... read more 
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