Artificial Intelligence Medical Compendium

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

Showing 43,751 to 43,760 of 224,055 articles

Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation

arXiv Mar 9, 2026
Diffusion-based data augmentation (DiffDA) has emerged as a promising approach to improving classification performance under data scarcity. However, existing works vary significantly in task configurations, model choices, and experimental pipelines, ... read more 
Computer Vision and Pattern Recognition

Beyond the Markovian Assumption: Robust Optimization via Fractional Weyl Integrals in Imbalanced Data

arXiv Mar 9, 2026
Standard Gradient Descent and its modern variants assume local, Markovian weight updates, making them highly susceptible to noise and overfitting. This limitation becomes critically severe in extremely imbalanced datasets such as financial fraud dete... read more 
Machine Learning stat.ML

Rectified flow-based prediction of post-treatment brain MRI from pre-radiotherapy priors for patients with glioma

arXiv Mar 9, 2026
Purpose/Objective: Brain tumors result in 20 years of lost life on average. Standard therapies induce complex structural changes in the brain that are monitored through MRI. Recent developments in artificial intelligence (AI) enable conditional multi... read more 
Image and Video Processing cs.CV

Geometrically Constrained Outlier Synthesis

arXiv Mar 9, 2026
Deep neural networks for image classification often exhibit overconfidence on out-of-distribution (OOD) samples. To address this, we introduce Geometrically Constrained Outlier Synthesis (GCOS), a training-time regularization framework aimed at impro... read more 
Machine Learning cs.AI

SYNAPSE: Framework for Neuron Analysis and Perturbation in Sequence Encoding

arXiv Mar 9, 2026
In recent years, Artificial Intelligence has become a powerful partner for complex tasks such as data analysis, prediction, and problem-solving, yet its lack of transparency raises concerns about its reliability. In sensitive domains such as healthca... read more 
Machine Learning cs.AI

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization

arXiv Mar 9, 2026
Semi-supervised domain generalization (SSDG) has recently emerged as an appealing alternative to tackle domain generalization when labeled data is scarce but unlabeled samples across domains are abundant. In this work, we identify an important limita... read more 
Computer Vision and Pattern Recognition

A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic

arXiv Mar 9, 2026
Large language model (LLM)-based AI systems have shown promise for patient-facing diagnostic and management conversations in simulated settings. Translating these systems into clinical practice requires assessment in real-world workflows with rigorou... read more 
Human-Computer Interaction cs.AI cs.CL cs.LG

A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic

arXiv Mar 9, 2026
Large language model (LLM)-based AI systems have shown promise for patient-facing diagnostic and management conversations in simulated settings. Translating these systems into clinical practice requires assessment in real-world workflows with rigorou... read more 
Human-Computer Interaction cs.AI cs.CL cs.LG

Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data

arXiv Mar 9, 2026
Safe predictions are a crucial requirement for integrating predictive models into clinical decision support systems. One approach for ensuring trustworthiness is to enable models' ability to express their uncertainty about individual predictions. How... read more 
Machine Learning

MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries

arXiv Mar 9, 2026
While Physics-Informed Neural Networks (PINNs) offer a mesh-free approach to solving PDEs, standard point-wise residual minimization suffers from convergence pathologies in topologically complex domains like Triply Periodic Minimal Surfaces (TPMS). T... read more 
Machine Learning
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