Artificial Intelligence Medical Compendium

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

Showing 30,551 to 30,560 of 220,100 articles

OffloadFS: Leveraging Disaggregated Storage for Computation Offloading

arXiv Apr 15, 2026
Disaggregated storage systems improve resource utilization and enable independent scaling of storage and compute resources by separating storage resources from computing resources in data centers. NVMe over fabrics (NVMeoF) is a key technology that u... read more 
Distributed, Parallel, and Cluster Computing cs.DB

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging

arXiv Apr 15, 2026
The potential of Multimodal Large Language Models (MLLMs) in domain of medical imaging raise the demands of systematic and rigorous evaluation frameworks that are aligned with the real-world medical imaging practice. Existing practices that report si... read more 
Computation and Language cs.CV

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking

arXiv Apr 15, 2026
Watermarking is becoming the default mechanism for AI content authentication, with governance policies and frameworks referencing it as infrastructure for content provenance. Yet across text, image, and audio modalities, watermark signal strength, de... read more 
Computers and Society cs.CL cs.CR cs.CV

PBE-UNet: A light weight Progressive Boundary-Enhanced U-Net with Scale-Aware Aggregation for Ultrasound Image Segmentation

arXiv Apr 15, 2026
Accurate lesion segmentation in ultrasound images is essential for preventive screening and clinical diagnosis, yet remains challenging due to low contrast, blurry boundaries, and significant scale variations. Although existing deep learning-based me... read more 
Computer Vision and Pattern Recognition

Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training

arXiv Apr 15, 2026
Vision transformers (ViT) have been shown to allow for more flexible feature detection and can outperform convolutional neural network (CNN) when pre-trained on sufficient data. Due to their promising feature detection capabilities, we deployed ViTs ... read more 
Computer Vision and Pattern Recognition cs.LG

RPS: Information Elicitation with Reinforcement Prompt Selection

arXiv Apr 15, 2026
Large language models (LLMs) have shown remarkable capabilities in dialogue generation and reasoning, yet their effectiveness in eliciting user-known but concealed information in open-ended conversations remains limited. In many interactive AI applic... read more 
Machine Learning

A Resource-Efficient Hybrid CNN-LSTM network for image-based bean leaf disease classification

arXiv Apr 15, 2026
Accurate and resource-efficient automated diagnosis is a cornerstone of modern agricultural expert systems. While Convolutional Neural Networks (CNNs) have established benchmarks in plant pathology, their ability to capture long-range spatial depende... read more 
Computer Vision and Pattern Recognition

DiffMagicFace: Identity Consistent Facial Editing of Real Videos

arXiv Apr 15, 2026
Text-conditioned image editing has greatly benefitted from the advancements in Image Diffusion Models. However, extending these techniques to facial video editing introduces challenges in preserving facial identity throughout the source video and ens... read more 
Computer Vision and Pattern Recognition

Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image

arXiv Apr 15, 2026
Reconstructing a complete 3D head from a single portrait remains challenging because existing methods still face a sharp quality-speed trade-off: high-fidelity pipelines often rely on multi-stage processing and per-subject optimization, while fast fe... read more 
Computer Vision and Pattern Recognition

PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios

arXiv Apr 15, 2026
Image generation technology can synthesize condition-specific images to supplement real-world industrial anomaly data and enhance anomaly detection model performance. Existing generation techniques rarely account for the pose and orientation of indus... read more 
Computer Vision and Pattern Recognition
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