Artificial Intelligence Medical Compendium

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

Showing 40,491 to 40,500 of 223,737 articles

Patient safety in AI-powered diagnostic pathology.

Journal of clinical pathology Mar 19, 2026
Artificial intelligence (AI)-powered diagnostic pathology involves combining traditional histological techniques with computer-assisted AI technology. This process comprises several key steps: generating whole slide digital images; annotating and tra... read more 

Advanced Prompt Engineering for Large Language Models in Interventional Radiology: Practical Strategies and Future Perspectives.

AJR. American journal of roentgenology Mar 18, 2026
As large language models (LLMs) become increasingly integrated into clinical workflows, advanced prompting strategies offer new opportunities and challenges for their application in interventional radiology (IR). This Clinical Perspective presents a ... read more 

Hybrid Modeling of Cercospora Leaf Spot Epidemiology: Integrating Mechanistic and Machine Learning Approaches Using Remote-Sensing and Environmental Data.

Phytopathology Mar 18, 2026
Despite advances in modeling and sensing, no study has previously integrated mechanistic, meteorological, and uncrewed aerial vehicle (UAV) data into a unified predictive framework for Cercospora leaf spot. From 2020 to 2022, field trials with a susc... read more 

rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks

arXiv Mar 18, 2026
Neural networks are central to modern artificial intelligence, yet their training remains highly sensitive to data contamination. Standard neural classifiers are trained by minimizing the categorical cross-entropy loss, corresponding to maximum likel... read more 
Machine Learning cs.AI cs.LG stat.ME

DSS-GAN: Directional State Space GAN with Mamba backbone for Class-Conditional Image Synthesis

arXiv Mar 18, 2026
We present DSS-GAN, the first generative adversarial network to employ Mamba as a hierarchical generator backbone for noise-to-image synthesis. The central contribution is Directional Latent Routing (DLR), a novel conditioning mechanism that decompos... read more 
Machine Learning cs.CV

Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment

arXiv Mar 18, 2026
Cross-Domain Few-Shot Learning (CDFSL) adapts models trained with large-scale general data (source domain) to downstream target domains with only scarce training data, where the research on vision-language models (e.g., CLIP) is still in the early st... read more 
Computer Vision and Pattern Recognition cs.AI

FINER: MLLMs Hallucinate under Fine-grained Negative Queries

arXiv Mar 18, 2026
Multimodal large language models (MLLMs) struggle with hallucinations, particularly with fine-grained queries, a challenge underrepresented by existing benchmarks that focus on coarse image-related questions. We introduce FIne-grained NEgative queRie... read more 
Computer Vision and Pattern Recognition cs.AI

Few-Step Diffusion Sampling Through Instance-Aware Discretizations

arXiv Mar 18, 2026
Diffusion and flow matching models generate high-fidelity data by simulating paths defined by Ordinary or Stochastic Differential Equations (ODEs/SDEs), starting from a tractable prior distribution. The probability flow ODE formulation enables the us... read more 
Computer Vision and Pattern Recognition

DeepCORO-CLIP: A Multi-View Foundation Model for Comprehensive Coronary Angiography Video-Text Analysis and External Validation

arXiv Mar 18, 2026
Coronary angiography is the reference standard for evaluating coronary artery disease, yet visual interpretation remains variable between readers. Existing artificial intelligence methods typically analyze single frames or projections and focus mainl... read more 
Computer Vision and Pattern Recognition

Inhibitory normalization of error signals improves learning in neural circuits

arXiv Mar 18, 2026
Normalization is a critical operation in neural circuits. In the brain, there is evidence that normalization is implemented via inhibitory interneurons and allows neural populations to adjust to changes in the distribution of their inputs. In artific... read more 
Neurons and Cognition cs.AI cs.LG
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