Artificial Intelligence Medical Compendium

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

Showing 14,721 to 14,730 of 212,071 articles

Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies

arXiv May 21, 2026
Predictive modelling is important for health data analysis and data-driven clinical decision-making. However, predictive studies are challenging to design optimally by hand when tens or even hundreds of features require selection, transformation, or ... read more 
Machine Learning cs.AI stat.AP

D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities

arXiv May 21, 2026
Accurate brain tumor segmentation using multiparametric MRI is critical for effective treatment planning. However, in clinical settings, complete acquisition of all MRI sequences is not always possible. The absence of certain MRI modalities results i... read more 
Computer Vision and Pattern Recognition

Direct content-based retrieval from music scores images

arXiv May 21, 2026
The digitization of musical scores plays a crucial role in their preservation and accessibility, yet information retrieval still depends mainly on metadata searches, such as by title or composer. Content based search in music score images remains und... read more 
Computer Vision and Pattern Recognition cs.IR

Impact of Atmospheric Turbulence and Pointing Error on Earth Observation

arXiv May 21, 2026
Earth Observation (EO) imagery is often degraded by atmospheric turbulence and pointing jitter; yet, these effects are rarely considered in datasets used to train AI-based detection models. Based on prior work, this paper presents an enhanced image s... read more 
Networking and Internet Architecture cs.AI cs.CV

Exposing Vulnerabilities in Visible-Infrared VLMs: A Unified Geometric Adversarial Framework with Cross-Task Transferability

arXiv May 21, 2026
Vision-language models (VLMs) have achieved strong performance across diverse multimodal tasks, but their adversarial robustness in visible-infrared (VIS-IR) scenarios remains underexplored. This gap is critical because VIS-IR sensing is widely used ... read more 
Computer Vision and Pattern Recognition

EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes

arXiv May 21, 2026
Text-based counseling is an important interface for AI mental-health support, where transcripts may be used to monitor depression severity and flag sessions requiring timely human review. However, robust PHQ-8 prediction across session regimes remain... read more 
Machine Learning cs.AI

Detection of Virus and Small Cell Patches in Foci Images Using Switchable Convolution and Feature Pyramid Networks

arXiv May 21, 2026
Accurate detection and counting of virus patches in focus-forming unit (FFU) images, also known as foci images, are important for quantifying viral infection and analyzing cellular structures. This task is challenging because biomedical targets often... read more 
Computer Vision and Pattern Recognition

PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models

arXiv May 21, 2026
Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as models may continue to synthesize individuals despite their right to be forgotten. While machine unlear... read more 
Computer Vision and Pattern Recognition

Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning

arXiv May 21, 2026
Purpose: To assess whether breast lesion segmentation can be learned directly from acquired MRI k-space, and whether doing so improves robustness when data are accelerated or noisy. Materials and Methods: This retrospective study used public breast... read more 
Computer Vision and Pattern Recognition physics.med-ph

SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection

arXiv May 21, 2026
Despite strong predictive results in the clinical machine learning literature, the translation of these models into bedside use remains limited by systems-level barriers: heterogeneous data representations, the absence of standardized deployment work... read more 
Machine Learning cs.AI cs.DC
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