Artificial Intelligence Medical Compendium

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

Showing 54,541 to 54,550 of 226,183 articles

A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation

arXiv Feb 3, 2026
Test-Time Adaptation (TTA) offers a practical solution for deploying image segmentation models under domain shift without accessing source data or retraining. Among existing TTA strategies, pseudo-label-based methods have shown promising performance.... read more 
Computer Vision and Pattern Recognition

Anomaly Detection via Mean Shift Density Enhancement

arXiv Feb 3, 2026
Unsupervised anomaly detection stands as an important problem in machine learning, with applications in financial fraud prevention, network security and medical diagnostics. Existing unsupervised anomaly detection algorithms rarely perform well acros... read more 
Machine Learning

Lipschitz Multiscale Deep Equilibrium Models: A Theoretically Guaranteed and Accelerated Approach

arXiv Feb 3, 2026
Deep equilibrium models (DEQs) achieve infinitely deep network representations without stacking layers by exploring fixed points of layer transformations in neural networks. Such models constitute an innovative approach that achieves performance comp... read more 
Machine Learning

Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases

arXiv Feb 3, 2026
Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolution and three-dimensional imaging nature, yet its full diagnostic automation in clinical practices remains constrained by multi-stage workflows and c... read more 
Computer Vision and Pattern Recognition cs.AI

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention

arXiv Feb 3, 2026
Deep search agents, which autonomously iterate through multi-turn web-based reasoning, represent a promising paradigm for complex information-seeking tasks. However, current agents suffer from critical inefficiency: they conduct excessive searches as... read more 
Information Retrieval

medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions

arXiv Feb 3, 2026
Reinforcement Learning (RL) offers a powerful framework for optimizing dynamic treatment regimes (DTRs). However, clinical RL is fundamentally bottlenecked by reward engineering: the challenge of defining signals that safely and effectively guide pol... read more 
Machine Learning

medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions

arXiv Feb 3, 2026
Reinforcement Learning (RL) offers a powerful framework for optimizing dynamic treatment regimes (DTRs). However, clinical RL is fundamentally bottlenecked by reward engineering: the challenge of defining signals that safely and effectively guide pol... read more 
Machine Learning

PQTNet: Pixel-wise Quantitative Thermography Neural Network for Estimating Defect Depth in Polylactic Acid Parts by Additive Manufacturing

arXiv Feb 3, 2026
Defect depth quantification in additively manufactured (AM) components remains a significant challenge for non-destructive testing (NDT). This study proposes a Pixel-wise Quantitative Thermography Neural Network (PQT-Net) to address this challenge fo... read more 
Computer Vision and Pattern Recognition

Invisible Clean-Label Backdoor Attacks for Generative Data Augmentation

arXiv Feb 3, 2026
With the rapid advancement of image generative models, generative data augmentation has become an effective way to enrich training images, especially when only small-scale datasets are available. At the same time, in practical applications, generativ... read more 
Computer Vision and Pattern Recognition

Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)

arXiv Feb 3, 2026
Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interpretable pathology biomarkers by estimating biophysical tissue parameters from signal evolutions. However, the pattern-matching algorithms or neural ne... read more 
Machine Learning cs.AI cs.LG physics.med-ph
Popular Topics
Recent Journals