Artificial Intelligence Medical Compendium

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

Showing 41,521 to 41,530 of 223,853 articles

Are large language models consistent with the ASPS and AAPS guidelines? A comparison of AI chatbot recommendations and plastic surgery clinical guidance.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Mar 16, 2026
INTRODUCTION: Assessing the ability of AI chatbots to provide information consistent with clinical guidelines is essential for evaluating the accuracy of the information that patients may receive. We evaluated the ability of three widely used chatbot... read more 

A metabolomics-driven machine learning model for osteoporosis risk prediction.

JBMR plus Mar 16, 2026
Osteoporosis, marked by decreased bone mineral density (BMD), poses a major public health concern by increasing fracture risk, lowering quality of life, and raising healthcare costs in aging populations. Accurate risk prediction is essential for earl... read more 

Peritumoral habitat radiomics predicts axillary lymph node metastasis in breast cancer.

iScience Mar 16, 2026
Accurate preoperative prediction of axillary lymph node metastasis (ALNM) is critical for personalized management of breast cancer. Here, we developed a habitat-aware, multiscale radiomics framework based on dynamic contrast-enhanced MRI to character... read more 

JUCars-2024: A dataset of used car listings in Jordan.

Data in brief Mar 16, 2026
The used car market in Jordan is a very important component of national transportation and economic systems that reflect consumer preferences, import policies, and affordability constraints. This article presents the Jordanian Used Cars Dataset (JUCa... read more 

FlatLands: Generative Floormap Completion From a Single Egocentric View

arXiv Mar 16, 2026
A single egocentric image typically captures only a small portion of the floor, yet a complete metric traversability map of the surroundings would better serve applications such as indoor navigation. We introduce FlatLands, a dataset and benchmark fo... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO eess.IV

GDPO-SR: Group Direct Preference Optimization for One-Step Generative Image Super-Resolution

arXiv Mar 16, 2026
Recently, reinforcement learning (RL) has been employed for improving generative image super-resolution (ISR) performance. However, the current efforts are focused on multi-step generative ISR, while one-step generative ISR remains underexplored due ... read more 
Computer Vision and Pattern Recognition

MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model

arXiv Mar 16, 2026
Human-Object Interaction (HOI) video reenactment with realistic motion remains a frontier in expressive digital human creation. Existing approaches primarily handle simple image-plane motion (e.g., in-plane translations), struggling with complex non-... read more 
Computer Vision and Pattern Recognition cs.AI

AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems

arXiv Mar 16, 2026
As multi-agent AI systems are increasingly deployed in real-world settings - from automated customer support to DevOps remediation - failures become harder to diagnose due to cascading effects, hidden dependencies, and long execution traces. We prese... read more 
Machine Learning cs.AI cs.SE

AURORA-KITTI: Any-Weather Depth Completion and Denoising in the Wild

arXiv Mar 16, 2026
Robust depth completion is fundamental to real-world 3D scene understanding, yet existing RGB-LiDAR fusion methods degrade significantly under adverse weather, where both camera images and LiDAR measurements suffer from weather-induced corruption. In... read more 
Computer Vision and Pattern Recognition

Fractal Autoregressive Depth Estimation with Continuous Token Diffusion

arXiv Mar 16, 2026
Monocular depth estimation can benefit from autoregressive (AR) generation, but direct AR modeling is hindered by the modality gap between RGB and depth, inefficient pixel-wise generation, and instability in continuous depth prediction. We propose a ... read more 
Computer Vision and Pattern Recognition
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