Artificial Intelligence Medical Compendium

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

Showing 11,861 to 11,870 of 210,187 articles

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation

arXiv May 25, 2026
Customized image editing aims to equip pre-trained diffusion models with specific visual effects using limited paired data, typically via Low-Rank Adaptation (LoRA). As the number of desired effects grows, storing and dynamically loading numerous the... read more 
Computer Vision and Pattern Recognition cs.AI

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance

arXiv May 25, 2026
Camouflaged object detection (COD) from a single image is a challenging task due to the high similarity between objects and their surroundings. Existing fully supervised methods require labor-intensive pixel-level annotations, making weakly supervise... read more 
Computer Vision and Pattern Recognition cs.AI

ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks

arXiv May 25, 2026
Nucleotide sequences constitute the fundamental genetic basis of biological systems, rendering viral genomic analysis critical for biomedical advancement. Despite progress in biological foundation models, specifically nucleotide foundation models (NF... read more 
Machine Learning q-bio.QM

Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control

arXiv May 25, 2026
Reliable quality control (QC) of ultrasound images is essential for both real-time acquisition guidance and retrospective clinical audit, yet existing approaches rely heavily on per-plane annotations, or employ pseudo-labeling prone to systematic bia... read more 
Computer Vision and Pattern Recognition cs.AI

Towards end-to-end LLM-based censoring-aware survival analysis

arXiv May 25, 2026
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are rarely used as end-to-end survival models because censoring prevents straightforward supervised fine-tuning. Here we present LLMSurvival, a framework ... read more 
Artificial Intelligence

Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation

arXiv May 25, 2026
Self-supervised pre-training paradigm has gained increasing prominence for learning transferable representations in medical imaging, yet existing methods for ultrasound (US) images operate at the image or frame level, overlooking the anatomical conte... read more 
Computer Vision and Pattern Recognition cs.AI

Learning View-Dependent Splatting Kernels

arXiv May 25, 2026
We present a differentiable framework to automatically learn view-dependent 2D kernels in a splatting-based pipeline to improve reconstruction quality and representation efficiency for novel 3D view synthesis. Our volumetric primitive is defined as a... read more 
Graphics cs.CV

Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random

arXiv May 25, 2026
Missing data frequently arises across diverse domains, including time-series and image domains. In the real world, missing occurrences often depend on the unobservable values themselves, which are referred to as Missing Not at Random (MNAR). In this ... read more 
Machine Learning

Enhancing Single-Image Facial Demorphing using Multimodal Large Language Models

arXiv May 25, 2026
Face recognition systems are increasingly vulnerable to morphing attacks, where a composite image is crafted to match multiple identities, enabling unauthorized access and identity fraud. Existing detection methods identify morphed images but cannot ... read more 
Computer Vision and Pattern Recognition

A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography

arXiv May 25, 2026
Electrocardiography (ECG) is central to cardiovascular care, but conventional AI models are often restricted to common arrhythmias and may generalize poorly across populations or clinically subtle diseases. We developed ECG Contrastive Language-Image... read more 
Artificial Intelligence cs.LG
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