Artificial Intelligence Medical Compendium

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

Showing 41,751 to 41,760 of 223,853 articles

Continual Few-shot Adaptation for Synthetic Fingerprint Detection

arXiv Mar 15, 2026
The quality and realism of synthetically generated fingerprint images have increased significantly over the past decade fueled by advancements in generative artificial intelligence (GenAI). This has exacerbated the vulnerability of fingerprint recogn... read more 
Computer Vision and Pattern Recognition cs.IT

LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol

arXiv Mar 15, 2026
Publicly available full-field digital mammography (FFDM) datasets remain limited in size, clinical labels, and vendor diversity, which hinders the training of robust models. We present LUMINA, a curated, multi-vendor FFDM dataset that explicitly enco... read more 
Image and Video Processing cs.CV cs.DB cs.LG

Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent Diffusion

arXiv Mar 15, 2026
In this paper, we study the diffusability (learnability) of variational autoencoders (VAE) in latent diffusion. First, we show that pixel-space diffusion trained with an MSE objective is inherently biased toward learning low and mid spatial frequenci... read more 
Computer Vision and Pattern Recognition

TopoCL: Topological Contrastive Learning for Medical Imaging

arXiv Mar 15, 2026
Contrastive learning (CL) has become a powerful approach for learning representations from unlabeled images. However, existing CL methods focus predominantly on visual appearance features while neglecting topological characteristics (e.g., connectivi... read more 
Computer Vision and Pattern Recognition cs.AI

EviATTA: Evidential Active Test-Time Adaptation for Medical Segment Anything Models

arXiv Mar 15, 2026
Deploying foundational medical Segment Anything Models (SAMs) via test-time adaptation (TTA) is challenging under large distribution shifts, where test-time supervision is often unreliable. While active test-time adaptation (ATTA) introduces limited ... read more 
Computer Vision and Pattern Recognition

Comparative Analysis of 3D Convolutional and 2.5D Slice-Conditioned U-Net Architectures for MRI Super-Resolution via Elucidated Diffusion Models

arXiv Mar 15, 2026
Magnetic resonance imaging (MRI) super-resolution (SR) methods that computationally enhance low-resolution acquisitions to approximate high-resolution quality offer a compelling alternative to expensive high-field scanners. In this work we investigat... read more 
Computer Vision and Pattern Recognition cs.AI

BluRef: Unsupervised Image Deblurring with Dense-Matching References

arXiv Mar 15, 2026
This paper introduces a novel unsupervised approach for image deblurring that utilizes a simple process for training data collection, thereby enhancing the applicability and effectiveness of deblurring methods. Our technique does not require meticulo... read more 
Computer Vision and Pattern Recognition

Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment

arXiv Mar 15, 2026
Hyperkalemia is a life-threatening electrolyte disorder that is common in patients with chronic kidney disease and heart failure, yet frequent monitoring remains difficult outside hospital settings. We developed and validated Pocket-K, a single-lead ... read more 
Machine Learning cs.AI

Towards Equitable Robotic Furnishing Agents for Aging-in-Place: ADL-Grounded Design Exploration

arXiv Mar 15, 2026
In aging-in-place contexts, small difficulties in Activities of Daily Living (ADL) can accumulate, affecting well-being through fatigue, anxiety, reduced autonomy, and safety risks. This position paper argues that robotics for older adult wellbeing m... read more 
Robotics cs.HC

Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language Models

arXiv Mar 15, 2026
Multimodal large language models (MLLMs) often suffer from perceptual impairments under extended reasoning modes, particularly in visual question answering (VQA) tasks. We identify attention dispersion as the underlying cause: during multi-step reaso... read more 
Computer Vision and Pattern Recognition cs.AI
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