Artificial Intelligence Medical Compendium

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

Showing 48,061 to 48,070 of 224,199 articles

Prompt Tuning for CLIP on the Pretrained Manifold

arXiv Feb 22, 2026
Prompt tuning introduces learnable prompt vectors that adapt pretrained vision-language models to downstream tasks in a parameter-efficient manner. However, under limited supervision, prompt tuning alters pretrained representations and drives downstr... read more 
Computer Vision and Pattern Recognition

GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning

arXiv Feb 22, 2026
Zero-shot 3D Anomaly Detection is an emerging task that aims to detect anomalies in a target dataset without any target training data, which is particularly important in scenarios constrained by sample scarcity and data privacy concerns. While curren... read more 
Computer Vision and Pattern Recognition

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation

arXiv Feb 22, 2026
Medical image segmentation is vital for clinical diagnosis and quantitative analysis, yet remains challenging due to the heterogeneity of imaging modalities and the high cost of pixel-level annotations. Although general interactive segmentation model... read more 
Computer Vision and Pattern Recognition

Questions beyond Pixels: Integrating Commonsense Knowledge in Visual Question Generation for Remote Sensing

arXiv Feb 22, 2026
With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering specific information or performing semantic image retrieval. However, current automatically generated questions tend t... read more 
Computer Vision and Pattern Recognition

Controlled Face Manipulation and Synthesis for Data Augmentation

arXiv Feb 22, 2026
Deep learning vision models excel with abundant supervision, but many applications face label scarcity and class imbalance. Controllable image editing can augment scarce labeled data, yet edits often introduce artifacts and entangle non-target attrib... read more 
Computer Vision and Pattern Recognition cs.LG

Knowledge-aware Visual Question Generation for Remote Sensing Images

arXiv Feb 22, 2026
With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering specific information or performing image retrieval. However, automatically generated image-based questions tend to be ... read more 
Computer Vision and Pattern Recognition

Evaluating SAP RPT-1 for Enterprise Business Process Prediction: In-Context Learning vs. Traditional Machine Learning on Structured SAP Data

arXiv Feb 22, 2026
Tabular foundation models aim to make machine learning accessible for enterprise data without task-specific training. This paper presents the first independent evaluation of SAP's Retrieval Pretrained Transformer (RPT-1) from a practitioner perspecti... read more 
Machine Learning cs.AI

DGPO: RL-Steered Graph Diffusion for Neural Architecture Generation

arXiv Feb 22, 2026
Reinforcement learning fine-tuning has proven effective for steering generative diffusion models toward desired properties in image and molecular domains. Graph diffusion models have similarly been applied to combinatorial structure generation, inclu... read more 
Machine Learning cs.AI cs.NE

A Two-Stage Detection-Tracking Framework for Stable Apple Quality Inspection in Dense Conveyor-Belt Environments

arXiv Feb 22, 2026
Industrial fruit inspection systems must operate reliably under dense multi-object interactions and continuous motion, yet most existing works evaluate detection or classification at the image level without ensuring temporal stability in video stream... read more 
Computer Vision and Pattern Recognition

MRI Contrast Enhancement Kinetics World Model

arXiv Feb 22, 2026
Clinical MRI contrast acquisition suffers from inefficient information yield, which presents as a mismatch between the risky and costly acquisition protocol and the fixed and sparse acquisition sequence. Applying world models to simulate the contrast... read more 
Computer Vision and Pattern Recognition
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