Artificial Intelligence Medical Compendium

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

Showing 58,151 to 58,160 of 227,634 articles

V-Loop: Visual Logical Loop Verification for Hallucination Detection in Medical Visual Question Answering

arXiv Jan 26, 2026
Multimodal Large Language Models (MLLMs) have shown remarkable capability in assisting disease diagnosis in medical visual question answering (VQA). However, their outputs remain vulnerable to hallucinations (i.e., responses that contradict visual fa... read more 
Computer Vision and Pattern Recognition

Vision-Language-Model-Guided Differentiable Ray Tracing for Fast and Accurate Multi-Material RF Parameter Estimation

arXiv Jan 26, 2026
Accurate radio-frequency (RF) material parameters are essential for electromagnetic digital twins in 6G systems, yet gradient-based inverse ray tracing (RT) remains sensitive to initialization and costly under limited measurements. This paper propose... read more 
Computer Vision and Pattern Recognition cs.NI

A multimodal vision foundation model for generalizable knee pathology

arXiv Jan 26, 2026
Musculoskeletal disorders represent a leading cause of global disability, creating an urgent demand for precise interpretation of medical imaging. Current artificial intelligence (AI) approaches in orthopedics predominantly rely on task-specific, sup... read more 
Computer Vision and Pattern Recognition cs.AI

Depth to Anatomy: Learning Internal Organ Locations from Surface Depth Images

arXiv Jan 26, 2026
Automated patient positioning plays an important role in optimizing scanning procedure and improving patient throughput. Leveraging depth information captured by RGB-D cameras presents a promising approach for estimating internal organ positions, the... read more 
Computer Vision and Pattern Recognition

Revisiting Aerial Scene Classification on the AID Benchmark

arXiv Jan 26, 2026
Aerial images play a vital role in urban planning and environmental preservation, as they consist of various structures, representing different types of buildings, forests, mountains, and unoccupied lands. Due to its heterogeneous nature, developing ... read more 
Computer Vision and Pattern Recognition

Noise-Robust Contrastive Learning with an MFCC-Conformer For Coronary Artery Disease Detection

arXiv Jan 26, 2026
Cardiovascular diseases (CVD) are the leading cause of death worldwide, with coronary artery disease (CAD) comprising the largest subcategory of CVDs. Recently, there has been increased focus on detecting CAD using phonocardiogram (PCG) signals, with... read more 
Audio and Speech Processing cs.SD

Contextual Range-View Projection for 3D LiDAR Point Clouds

arXiv Jan 26, 2026
Range-view projection provides an efficient method for transforming 3D LiDAR point clouds into 2D range image representations, enabling effective processing with 2D deep learning models. However, a major challenge in this projection is the many-to-on... read more 
Computer Vision and Pattern Recognition

Cognitive Fusion of ZC Sequences and Time-Frequency Images for Out-of-Distribution Detection of Drone Signals

arXiv Jan 26, 2026
We propose a drone signal out-of-distribution detection (OODD) algorithm based on the cognitive fusion of Zadoff-Chu (ZC) sequences and time-frequency images (TFI). ZC sequences are identified by analyzing the communication protocols of DJI drones, w... read more 
Machine Learning

Discriminability-Driven Spatial-Channel Selection with Gradient Norm for Drone Signal OOD Detection

arXiv Jan 26, 2026
We propose a drone signal out-of-distribution (OOD) detection algorithm based on discriminability-driven spatial-channel selection with a gradient norm. Time-frequency image features are adaptively weighted along both spatial and channel dimensions b... read more 
Machine Learning

A Tumor Aware DenseNet Swin Hybrid Learning with Boosted and Hierarchical Feature Spaces for Large-Scale Brain MRI Classification

arXiv Jan 26, 2026
This study proposes an efficient Densely Swin Hybrid (EDSH) framework for brain tumor MRI analysis, designed to jointly capture fine grained texture patterns and long range contextual dependencies. Two tumor aware experimental setups are introduced t... read more 
Computer Vision and Pattern Recognition cs.LG
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