Artificial Intelligence Medical Compendium

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

Showing 47,671 to 47,680 of 224,199 articles

Forgetting-Resistant and Lesion-Aware Source-Free Domain Adaptive Fundus Image Analysis with Vision-Language Model

arXiv Feb 23, 2026
Source-free domain adaptation (SFDA) aims to adapt a model trained in the source domain to perform well in the target domain, with only unlabeled target domain data and the source model. Taking into account that conventional SFDA methods are inevitab... read more 
Computer Vision and Pattern Recognition

Structured Bitmap-to-Mesh Triangulation for Geometry-Aware Discretization of Image-Derived Domains

arXiv Feb 23, 2026
We propose a template-driven triangulation framework that embeds raster- or segmentation-derived boundaries into a regular triangular grid for stable PDE discretization on image-derived domains. Unlike constrained Delaunay triangulation (CDT), which ... read more 
Computational Geometry cs.CV cs.GR

Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification

arXiv Feb 23, 2026
Quantifying uncertainty in clinical predictions is critical for high-stakes diagnosis tasks. Conformal prediction offers a principled approach by providing prediction sets with theoretical coverage guarantees. However, in practice, patient distributi... read more 
Machine Learning cs.AI stat.ML

Exploiting Label-Independent Regularization from Spatial Dependencies for Whole Slide Image Analysis

arXiv Feb 23, 2026
Whole slide images, with their gigapixel-scale panoramas of tissue samples, are pivotal for precise disease diagnosis. However, their analysis is hindered by immense data size and scarce annotations. Existing MIL methods face challenges due to the fu... read more 
Computer Vision and Pattern Recognition

MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models

arXiv Feb 23, 2026
Recent advancements in Unified Multimodal Models (UMMs) have enabled remarkable image understanding and generation capabilities. However, while models like Gemini-2.5-Flash-Image show emerging abilities to reason over multiple related images, existin... read more 
Computer Vision and Pattern Recognition

Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark

arXiv Feb 23, 2026
Agentic AI systems are increasingly capable of autonomous data science workflows, yet clinical prediction tasks demand domain expertise that purely automated approaches struggle to provide. We investigate how human guidance of agentic AI can improve ... read more 
Artificial Intelligence cs.LG

OSInsert: Towards High-authenticity and High-fidelity Image Composition

arXiv Feb 23, 2026
Generative image composition aims to regenerate the given foreground object in the background image to produce a realistic composite image. Some high-authenticity methods can adjust foreground pose/view to be compatible with background, while some hi... read more 
Computer Vision and Pattern Recognition

A Statistical Approach for Modeling Irregular Multivariate Time Series with Missing Observations

arXiv Feb 23, 2026
Irregular multivariate time series with missing values present significant challenges for predictive modeling in domains such as healthcare. While deep learning approaches often focus on temporal interpolation or complex architectures to handle irreg... read more 
Machine Learning cs.AI

Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems

arXiv Feb 23, 2026
Age estimation systems are increasingly deployed as gatekeepers for age-restricted online content, yet their robustness to cosmetic modifications has not been systematically evaluated. We investigate whether simple, household-accessible cosmetic chan... read more 
Computer Vision and Pattern Recognition cs.CR cs.LG

A Green Learning Approach to LDCT Image Restoration

arXiv Feb 23, 2026
This work proposes a green learning (GL) approach to restore medical images. Without loss of generality, we use low-dose computed tomography (LDCT) images as examples. LDCT images are susceptible to noise and artifacts, where the imaging process intr... read more 
Computer Vision and Pattern Recognition cs.AI
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