Artificial Intelligence Medical Compendium

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

Showing 40,501 to 40,510 of 223,737 articles

Illumination-Aware Contactless Fingerprint Spoof Detection via Paired Flash-Non-Flash Imaging

arXiv Mar 18, 2026
Contactless fingerprint recognition enables hygienic and convenient biometric authentication but poses new challenges for spoof detection due to the absence of physical contact and traditional liveness cues. Most existing methods rely on single-image... read more 
Computer Vision and Pattern Recognition

WeatherReasonSeg: A Benchmark for Weather-Aware Reasoning Segmentation in Visual Language Models

arXiv Mar 18, 2026
Existing vision-language models (VLMs) have demonstrated impressive performance in reasoning-based segmentation. However, current benchmarks are primarily constructed from high-quality images captured under idealized conditions. This raises a critica... read more 
Computer Vision and Pattern Recognition cs.AI

Does YOLO Really Need to See Every Training Image in Every Epoch?

arXiv Mar 18, 2026
YOLO detectors are known for their fast inference speed, yet training them remains unexpectedly time-consuming due to their exhaustive pipeline that processes every training image in every epoch, even when many images have already been sufficiently l... read more 
Computer Vision and Pattern Recognition

Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos

arXiv Mar 18, 2026
The transition from image to video understanding requires vision-language models (VLMs) to shift from recognizing static patterns to reasoning over temporal dynamics such as motion trajectories, speed changes, and state transitions. Yet current post-... read more 
Computer Vision and Pattern Recognition

Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)

arXiv Mar 18, 2026
Previous work has reported that vision foundation models show promising zero-shot performance in eye image segmentation. Here we examine whether the latest iteration of the Segment Anything Model, SAM3, offers better eye image segmentation performanc... read more 
Computer Vision and Pattern Recognition cs.AI

DiffVP: Differential Visual Semantic Prompting for LLM-Based CT Report Generation

arXiv Mar 18, 2026
While large language models (LLMs) have advanced CT report generation, existing methods typically encode 3D volumes holistically, failing to distinguish informative cues from redundant anatomical background. Inspired by radiological cognitive subtrac... read more 
Computer Vision and Pattern Recognition

Predicting Trajectories of Long COVID in Adult Women: The Critical Role of Causal Disentanglement

arXiv Mar 18, 2026
Early prediction of Post-Acute Sequelae of SARS-CoV-2 severity is a critical challenge for women's health, particularly given the diagnostic overlap between PASC and common hormonal transitions such as menopause. Identifying and accounting for these ... read more 
Machine Learning cs.CY

Concept-to-Pixel: Prompt-Free Universal Medical Image Segmentation

arXiv Mar 18, 2026
Universal medical image segmentation seeks to use a single foundational model to handle diverse tasks across multiple imaging modalities. However, existing approaches often rely heavily on manual visual prompts or retrieved reference images, which li... read more 
Computer Vision and Pattern Recognition

Evidence Packing for Cross-Domain Image Deepfake Detection with LVLMs

arXiv Mar 18, 2026
Image Deepfake Detection (IDD) separates manipulated images from authentic ones by spotting artifacts of synthesis or tampering. Although large vision-language models (LVLMs) offer strong image understanding, adapting them to IDD often demands costly... read more 
Computer Vision and Pattern Recognition

Grounded Multimodal Retrieval-Augmented Drafting of Radiology Impressions Using Case-Based Similarity Search

arXiv Mar 18, 2026
Automated radiology report generation has gained increasing attention with the rise of deep learning and large language models. However, fully generative approaches often suffer from hallucinations and lack clinical grounding, limiting their reliabil... read more 
Quantitative Methods
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