Artificial Intelligence Medical Compendium

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

Showing 30,111 to 30,120 of 220,100 articles

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation

arXiv Apr 17, 2026
Reasoning segmentation has recently expanded from ground-level scenes to remote-sensing imagery, yet UAV data poses distinct challenges, including oblique viewpoints, ultra-high resolutions, and extreme scale variations. To address these issues, we f... read more 
Computer Vision and Pattern Recognition

Self-Supervised Angular Deblurring in Photoacoustic Reconstruction via Noisier2Inverse

arXiv Apr 17, 2026
Photoacoustic tomography (PAT) is an emerging imaging modality that combines the complementary strengths of optical contrast and ultrasonic resolution. A central task is image reconstruction, where measured acoustic signals are used to recover the in... read more 
Computer Vision and Pattern Recognition

Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning

arXiv Apr 17, 2026
Reinforcement Fine-Tuning (RFT) has established itself as a critical paradigm for the alignment of Multi-modal Large Language Models (MLLMs) with complex human values and domain-specific requirements. Nevertheless, current research primarily focuses ... read more 
Machine Learning

SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification

arXiv Apr 17, 2026
Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while whole-slide image (WSI)-level tasks primarily capture aggregated patterns. To extract these critica... read more 
Computer Vision and Pattern Recognition cs.AI

Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images

arXiv Apr 17, 2026
The advent of handheld fundus imaging devices has made ophthalmologic diagnosis and disease screening more accessible, efficient, and cost-effective. However, images captured from these setups often suffer from artifacts such as flash reflections, ex... read more 
Computer Vision and Pattern Recognition cs.AI

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing

arXiv Apr 17, 2026
Large Reasoning Models (LRMs) have demonstrated strong capabilities in generating step-by-step reasoning chains alongside final answers, enabling their deployment in high-stakes domains such as healthcare and education. While prior jailbreak attack s... read more 
Machine Learning cs.AI

MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis

arXiv Apr 17, 2026
Whole Slide Image (WSI) analysis is pivotal in computational pathology, enabling cancer diagnosis by integrating morphological and architectural cues across magnifications. Multiple Instance Learning (MIL) serves as the standard framework for WSI ana... read more 
Computer Vision and Pattern Recognition cs.AI

Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval

arXiv Apr 17, 2026
Fine-grained image retrieval via hand-drawn sketches or textual descriptions remains a critical challenge due to inherent modality gaps. While hand-drawn sketches capture complex structural contours, they lack color and texture, which text effectivel... read more 
Computer Vision and Pattern Recognition cs.AI

Evidence Sufficiency Under Delayed Ground Truth: Proxy Monitoring for Risk Decision Systems

arXiv Apr 17, 2026
Machine learning systems in fraud detection, credit scoring, and clinical risk assessment operate under delayed ground truth: outcome labels arrive days to months after the decision they evaluate. During this blind period, governance evidence degrade... read more 
Computers and Society

Concept-wise Attention for Fine-grained Concept Bottleneck Models

arXiv Apr 17, 2026
Recently impressive performance has been achieved in Concept Bottleneck Models (CBM) by utilizing the image-text alignment learned by a large pre-trained vision-language model (i.e. CLIP). However, there exist two key limitations in concept modeling.... read more 
Computer Vision and Pattern Recognition
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