Artificial Intelligence Medical Compendium

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

Showing 29,761 to 29,770 of 219,931 articles

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

SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images

arXiv Apr 17, 2026
Segmentation is a critical task in computational pathology, as it identifies areas affected by disease or abnormal growth and is essential for diagnosis and treatment. However, acquiring high-quality pixel-level supervised segmentation data requires ... read more 
Computer Vision and Pattern Recognition cs.AI

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI

arXiv Apr 17, 2026
Spatial reasoning and visual grounding are core capabilities for vision-language models (VLMs), yet most medical VLMs produce predictions without transparent reasoning or spatial evidence. Existing benchmarks also evaluate VLMs on isolated 2D images,... read more 
Computer Vision and Pattern Recognition cs.AI

Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow

arXiv Apr 17, 2026
Vision-Language Models (VLMs) have demonstrated strong capability in a wide range of tasks such as visual recognition, document parsing, and visual grounding. Nevertheless, recent work shows that while VLMs often manage to capture the correct image r... read more 
Computer Vision and Pattern Recognition

Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions

arXiv Apr 17, 2026
Embodied robotic agents often perceive movies through an egocentric screen-view interface rather than native cinematic footage, introducing domain shifts such as viewpoint distortion, scale variation, illumination changes, and environmental interfere... read more 
Computer Vision and Pattern Recognition

SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification

arXiv Apr 17, 2026
Hyperspectral imaging enables fine-grained recognition of materials by capturing rich spectral signatures, but learning robust classifiers is challenging due to high dimensionality, spectral redundancy, limited labeled data, and strong domain shifts.... read more 
Computer Vision and Pattern Recognition

Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration

arXiv Apr 17, 2026
Text-to-image generative models have achieved impressive fidelity and diversity, but can inadvertently produce unsafe or undesirable content due to implicit biases embedded in large-scale training datasets. Existing concept erasure methods, whether t... read more 
Computer Vision and Pattern Recognition cs.CR

Learning to Look before Learning to Like: Incorporating Human Visual Cognition into Aesthetic Quality Assessment

arXiv Apr 17, 2026
Automated Aesthetic Quality Assessment (AQA) treats images primarily as static pixel vectors, aligning predictions with human-rating scores largely through semantic perception. However, this paradigm diverges from human aesthetic cognition, which ari... read more 
Computer Vision and Pattern Recognition
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