Artificial Intelligence Medical Compendium

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

Showing 37,651 to 37,660 of 223,469 articles

Artificial Intelligence-Enhanced Cardiac Point-of-Care Ultrasound: A Prospective Single-Arm Study.

Mayo Clinic proceedings. Digital health Mar 30, 2026
OBJECTIVE: To evaluate the clinical utility of combining artificial intelligence (AI) with handheld focused cardiac ultrasound (FoCUS) performed by noncardiologist physicians in clinical care settings. PATIENTS AND METHODS: In this prospective, singl... read more 

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

arXiv Mar 29, 2026
Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in the field of medical imaging, the curation and assembling of such med... read more 
Computer Vision and Pattern Recognition cs.AI

KV Cache Quantization for Self-Forcing Video Generation: A 33-Method Empirical Study

arXiv Mar 29, 2026
Self-forcing video generation extends a short-horizon video model to longer rollouts by repeatedly feeding generated content back in as context. This scaling path immediately exposes a systems bottleneck: the key-value (KV) cache grows with rollout l... read more 
Machine Learning cs.AI

Estimating the Impact of COVID-19 on Travel Demand in Houston Area Using Deep Learning and Satellite Imagery

arXiv Mar 29, 2026
Considering recent advances in remote sensing satellite systems and computer vision algorithms, many satellite sensing platforms and sensors have been used to monitor the condition and usage of transportation infrastructure systems. The level of deta... read more 
Computer Vision and Pattern Recognition stat.AP

Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs

arXiv Mar 29, 2026
To enhance the perception and reasoning capabilities of multimodal large language models in complex visual scenes, recent research has introduced agent-based workflows. In these works, MLLMs autonomously utilize image cropping tool to analyze regions... read more 
Computer Vision and Pattern Recognition cs.AI

Streamlined Open-Vocabulary Human-Object Interaction Detection

arXiv Mar 29, 2026
Open-vocabulary human-object interaction (HOI) detection aims to localize and recognize all human-object interactions in an image, including those unseen during training. Existing approaches usually rely on the collaboration between a conventional HO... read more 
Computer Vision and Pattern Recognition

Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models

arXiv Mar 29, 2026
Semantic segmentation of remote sensing imagery is fundamental to Earth observation. Achieving accurate results requires integrating not only optical images but also physical variables such as the Digital Elevation Model (DEM), Synthetic Aperture Rad... read more 
Computer Vision and Pattern Recognition

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM

arXiv Mar 29, 2026
Recent advancements in multi-modal large language models (MLLMs) have shown strong potential for 3D scene understanding. However, existing methods struggle with fine-grained object grounding and contextual reasoning, limiting their ability to interpr... read more 
Computer Vision and Pattern Recognition

Understanding Semantic Perturbations on In-Processing Generative Image Watermarks

arXiv Mar 29, 2026
The widespread deployment of high-fidelity generative models has intensified the need for reliable mechanisms for provenance and content authentication. In-processing watermarking, embedding a signature into the generative model's synthesis procedure... read more 
Computer Vision and Pattern Recognition cs.AI

SGS-Intrinsic: Semantic-Invariant Gaussian Splatting for Sparse-View Indoor Inverse Rendering

arXiv Mar 29, 2026
We present SGS-Intrinsic, an indoor inverse rendering framework that works well for sparse-view images. Unlike existing 3D Gaussian Splatting (3DGS) based methods that focus on object-centric reconstruction and fail to work under sparse view settings... read more 
Computer Vision and Pattern Recognition
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