Artificial Intelligence Medical Compendium

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

Showing 49,901 to 49,910 of 224,814 articles

Spanning the Visual Analogy Space with a Weight Basis of LoRAs

arXiv Feb 17, 2026
Visual analogy learning enables image manipulation through demonstration rather than textual description, allowing users to specify complex transformations difficult to articulate in words. Given a triplet $\{\mathbf{a}$, $\mathbf{a}'$, $\mathbf{b}\}... read more 
Computer Vision and Pattern Recognition cs.AI cs.GR cs.LG eess.IV

Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries

arXiv Feb 17, 2026
Integrating human expertise into machine learning systems often reduces the role of experts to labeling oracles, a paradigm that limits the amount of information exchanged and fails to capture the nuances of human judgment. We address this challenge ... read more 
Human-Computer Interaction cs.LG

MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis

arXiv Feb 17, 2026
Alzheimer's disease (AD) is a progressive neurodegenerative condition necessitating early and precise diagnosis to provide prompt clinical management. Given the paramount importance of early diagnosis, recent studies have increasingly focused on comp... read more 
Machine Learning cs.AI q-bio.QM

RaCo: Ranking and Covariance for Practical Learned Keypoints

arXiv Feb 17, 2026
This paper introduces RaCo, a lightweight neural network designed to learn robust and versatile keypoints suitable for a variety of 3D computer vision tasks. The model integrates three key components: the repeatable keypoint detector, a differentiabl... read more 
Computer Vision and Pattern Recognition cs.RO

NeRFscopy: Neural Radiance Fields for in-vivo Time-Varying Tissues from Endoscopy

arXiv Feb 17, 2026
Endoscopy is essential in medical imaging, used for diagnosis, prognosis and treatment. Developing a robust dynamic 3D reconstruction pipeline for endoscopic videos could enhance visualization, improve diagnostic accuracy, aid in treatment planning, ... read more 
Computer Vision and Pattern Recognition

Meteorological data and Sky Images meets Neural Models for Photovoltaic Power Forecasting

arXiv Feb 17, 2026
Due to the rise in the use of renewable energies as an alternative to traditional ones, and especially solar energy, there is increasing interest in studying how to address photovoltaic forecasting in the face of the challenge of variability in photo... read more 
Computer Vision and Pattern Recognition

Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers

arXiv Feb 17, 2026
Whole-slide images (WSIs) from cancer patients contain rich information that can be used for medical diagnosis or to follow treatment progress. To automate their analysis, numerous deep learning methods based on convolutional neural networks and Visi... read more 
Computer Vision and Pattern Recognition

Task-Agnostic Continual Learning for Chest Radiograph Classification

arXiv Feb 17, 2026
Clinical deployment of chest radiograph classifiers requires models that can be updated as new datasets become available without retraining on previously ob- served data or degrading validated performance. We study, for the first time, a task-increme... read more 
Computer Vision and Pattern Recognition cs.AI

VideoSketcher: Video Models Prior Enable Versatile Sequential Sketch Generation

arXiv Feb 17, 2026
Sketching is inherently a sequential process, in which strokes are drawn in a meaningful order to explore and refine ideas. However, most generative models treat sketches as static images, overlooking the temporal structure that underlies creative dr... read more 
Computer Vision and Pattern Recognition

A Generative Foundation Model for Scalable Cytology Image Synthesis in AI-Powered Diagnostics.

Clinical cancer research : an official journal of the American Association for Cancer Research Feb 17, 2026
PURPOSE: Cytology is a cornerstone of pathologic diagnosis. However, the use of artificial intelligence (AI) models for cytology-based diagnostics remains constrained by limited data availability and stringent privacy regulations. This study aims to ... read more 
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