Artificial Intelligence Medical Compendium

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

Showing 18,441 to 18,450 of 214,278 articles

Automatic Landmark-Based Segmentation of Human Subcortical Structures in MRI

arXiv May 14, 2026
Precise segmentation of brain structures in magnetic resonance imaging (MRI) is essential for reliable neuroimaging analysis, yet voxel-wise deep models often yield anatomically inconsistent results that diverge from expert-defined boundaries. In thi... read more 
Computer Vision and Pattern Recognition

DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System

arXiv May 14, 2026
Accurate disease trajectory prediction is critical for early intervention, resource allocation, and improving long-term outcomes. While electronic health records (EHRs) provide a rich longitudinal view of patient health in clinical environments, mode... read more 
Machine Learning cs.CL

Implicit spatial-frequency fusion of hyperspectral and lidar data via kolmogorov-arnold networks

arXiv May 14, 2026
Hyperspectral image (HSI) classification is challenging in complex scenes due to spectral ambiguity, spatial heterogeneity, and the strong coupling between material properties and geometric structures. Although LiDAR provides complementary elevation ... read more 
Computer Vision and Pattern Recognition

Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment

arXiv May 14, 2026
The monitoring of fetal heart rate (FHR) and the assessment of its variability are crucial for preventing fetal compromise and adverse outcomes. However, traditional methods encounter limitations arising from equipment performance, data transmission,... read more 
Machine Learning cs.AI

Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images

arXiv May 14, 2026
Conditional generative adversarial networks (cGANs) have enabled high-fidelity computational staining and destaining of hematoxylin and eosin (H&E) in digital pathology whole-slide images (WSI). However, their ability to generalize to out-of-distribu... read more 
Computer Vision and Pattern Recognition

Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks

arXiv May 14, 2026
Spiking neural networks (SNNs), which are brain-inspired and spike-driven, achieve high energy efficiency. However, a performance gap between SNNs and artificial neural networks (ANNs) still remains. Knowledge distillation (KD) is commonly adopted to... read more 
Machine Learning cs.AI

Towards Real-Time Autonomous Navigation: Transformer-Based Catheter Tip Tracking in Fluoroscopy

arXiv May 14, 2026
Purpose: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local treatment access. Widespread distribution of reinforcement learning (RL)-based robotic systems can be used to alleviate this challenge through autonomou... read more 
Computer Vision and Pattern Recognition cs.LG

Architecture-Aware Explanation Auditing for Industrial Visual Inspection

arXiv May 14, 2026
Industrial visual inspection systems increasingly rely on deep classifiers whose heatmap explanations may appear visually plausible while failing to identify the image regions that actually drive model decisions. This paper operationalizes an archite... read more 
Machine Learning cs.CV

Image Restoration via Diffusion Models with Dynamic Resolution

arXiv May 14, 2026
Diffusion models (DMs) have exhibited remarkable efficacy in various image restoration tasks. However, existing approaches typically operate within the high-dimensional pixel space, resulting in high computational overhead. While methods based on lat... read more 
Computer Vision and Pattern Recognition cs.AI

Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers

arXiv May 14, 2026
Multimodal Diffusion Transformers (MM-DiTs) have achieved remarkable progress in text-to-image generation, yet they frequently suffer from concept omission, where specified objects or attributes fail to emerge in the generated image. By performing li... read more 
Computer Vision and Pattern Recognition
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