Artificial Intelligence Medical Compendium

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

Showing 29,791 to 29,800 of 219,931 articles

Prototype-Grounded Concept Models for Verifiable Concept Alignment

arXiv Apr 17, 2026
Concept Bottleneck Models (CBMs) aim to improve interpretability in Deep Learning by structuring predictions through human-understandable concepts, but they provide no way to verify whether learned concepts align with the human's intended meaning, hu... read more 
Machine Learning cs.AI cs.NE

Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model

arXiv Apr 17, 2026
Acute Myeloid Leukemia (AML) is one of the most life-threatening type of blood cancers, and its accurate classification is considered and remains a challenging task due to the visual similarity between various cell types. This study addresses the cla... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

DINOv3 Beats Specialized Detectors: A Simple Foundation Model Baseline for Image Forensics

arXiv Apr 17, 2026
With the rapid advancement of deep generative models, realistic fake images have become increasingly accessible, yet existing localization methods rely on complex designs and still struggle to generalize across manipulation types and imaging conditio... read more 
Computer Vision and Pattern Recognition

Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance

arXiv Apr 17, 2026
One of the dominant paradigms in self-supervised learning (SSL), illustrated by MoCo or DINO, aims to produce robust representations by capturing features that are insensitive to certain image transformations such as illumination, or geometric change... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG stat.ML

DenTab: A Dataset for Table Recognition and Visual QA on Real-World Dental Estimates

arXiv Apr 17, 2026
Tables condense key transactional and administrative information into compact layouts, but practical extraction requires more than text recognition: systems must also recover structure (rows, columns, merged cells, headers) and interpret roles such a... read more 
Computer Vision and Pattern Recognition

Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration

arXiv Apr 17, 2026
Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Conventional computed tomography (CT) imaging, while essential for detection and staging, has limitations in distinguishing benign from malignant lesions and providi... read more 
Image and Video Processing cs.AI cs.CV

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset

arXiv Apr 17, 2026
Tone style transfer for photo retouching aims to adapt the stylistic tone of the reference image to a given content image. However, the lack of high-quality large-scale triplet datasets with stylized ground truth forces existing methods to rely on se... read more 
Computer Vision and Pattern Recognition

From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts

arXiv Apr 17, 2026
Hyperspectral tree species classification is challenging due to limited and imbalanced class labels, spectral mixing (overlapping light signatures from multiple species), and ecological heterogeneity (variability among ecological systems). Addressing... read more 
Computer Vision and Pattern Recognition

Univariate Channel Fusion for Multivariate Time Series Classification

arXiv Apr 17, 2026
Multivariate time series classification (MTSC) plays a crucial role in various domains, including biomedical signal analysis and motion monitoring. However, existing approaches, particularly deep learning models, often require high computational reso... read more 
Machine Learning

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation

arXiv Apr 17, 2026
Automated 3D radiology report generation often suffers from clinical hallucinations and a lack of the iterative verification found in human practice. While recent Vision-Language Models (VLMs) have advanced the field, they typically operate as monoli... read more 
Artificial Intelligence cs.CV
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