Artificial Intelligence Medical Compendium

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

Showing 49,331 to 49,340 of 224,513 articles

Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning

arXiv Feb 18, 2026
Fine-tuning pre-trained diffusion and flow models to optimize downstream utilities is central to real-world deployment. Existing entropy-regularized methods primarily maximize expected reward, providing no mechanism to shape tail behavior. However, t... read more 
Machine Learning math.OC

MALLVI: a multi agent framework for integrated generalized robotics manipulation

arXiv Feb 18, 2026
Task planning for robotic manipulation with large language models (LLMs) is an emerging area. Prior approaches rely on specialized models, fine tuning, or prompt tuning, and often operate in an open loop manner without robust environmental feedback, ... read more 
Robotics cs.AI cs.CV cs.LG

Xray-Visual Models: Scaling Vision models on Industry Scale Data

arXiv Feb 18, 2026
We present Xray-Visual, a unified vision model architecture for large-scale image and video understanding trained on industry-scale social media data. Our model leverages over 15 billion curated image-text pairs and 10 billion video-hashtag pairs fro... read more 
Computer Vision and Pattern Recognition cs.AI

HS-3D-NeRF: 3D Surface and Hyperspectral Reconstruction From Stationary Hyperspectral Images Using Multi-Channel NeRFs

arXiv Feb 18, 2026
Advances in hyperspectral imaging (HSI) and 3D reconstruction have enabled accurate, high-throughput characterization of agricultural produce quality and plant phenotypes, both essential for advancing agricultural sustainability and breeding programs... read more 
Computer Vision and Pattern Recognition

BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression

arXiv Feb 18, 2026
Developing foundation models for electroencephalography (EEG) remains challenging due to the signal's low signal-to-noise ratio and complex spectro-temporal non-stationarity. Existing approaches often overlook the hierarchical latent structure inhere... read more 
Signal Processing cs.LG

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis

arXiv Feb 18, 2026
Computed Tomography (CT) is one of the most widely used and diagnostically information-dense imaging modalities, covering critical organs such as the heart, lungs, liver, and colon. Clinical interpretation relies on both slice-driven local features (... read more 
Computer Vision and Pattern Recognition cs.AI

Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization

arXiv Feb 17, 2026
Dataset distillation compresses the original data into compact synthetic datasets, reducing training time and storage while retaining model performance, enabling deployment under limited resources. Although recent decoupling-based distillation method... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Visual Persuasion: What Influences Decisions of Vision-Language Models?

arXiv Feb 17, 2026
The web is littered with images, once created for human consumption and now increasingly interpreted by agents using vision-language models (VLMs). These agents make visual decisions at scale, deciding what to click, recommend, or buy. Yet, we know l... read more 
Computer Vision and Pattern Recognition cs.AI

Consistency-Preserving Diverse Video Generation

arXiv Feb 17, 2026
Text-to-video generation is expensive, so only a few samples are typically produced per prompt. In this low-sample regime, maximizing the value of each batch requires high cross-video diversity. Recent methods improve diversity for image generation, ... read more 
Computer Vision and Pattern Recognition

Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization

arXiv Feb 17, 2026
Collaborative clinical decision support is often constrained by governance and privacy rules that prevent pooling patient-level records across institutions. We present a hybrid privacy-preserving framework that combines Federated Learning (FL) and Sp... read more 
Machine Learning cs.AI
Popular Topics
Recent Journals