Artificial Intelligence Medical Compendium

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

Showing 48,671 to 48,680 of 224,513 articles

Diff2DGS: Reliable Reconstruction of Occluded Surgical Scenes via 2D Gaussian Splatting

arXiv Feb 20, 2026
Real-time reconstruction of deformable surgical scenes is vital for advancing robotic surgery, improving surgeon guidance, and enabling automation. Recent methods achieve dense reconstructions from da Vinci robotic surgery videos, with Gaussian Splat... read more 
Computer Vision and Pattern Recognition cs.GR cs.RO

Unifying Color and Lightness Correction with View-Adaptive Curve Adjustment for Robust 3D Novel View Synthesis

arXiv Feb 20, 2026
High-quality image acquisition in real-world environments remains challenging due to complex illumination variations and inherent limitations of camera imaging pipelines. These issues are exacerbated in multi-view capture, where differences in lighti... read more 
Computer Vision and Pattern Recognition

G-LoG Bi-filtration for Medical Image Classification

arXiv Feb 20, 2026
Building practical filtrations on objects to detect topological and geometric features is an important task in the field of Topological Data Analysis (TDA). In this paper, leveraging the ability of the Laplacian of Gaussian operator to enhance the bo... read more 
Computer Vision and Pattern Recognition math.AT

Quantum-enhanced satellite image classification

arXiv Feb 20, 2026
We demonstrate the application of a quantum feature extraction method to enhance multi-class image classification for space applications. By harnessing the dynamics of many-body spin Hamiltonians, the method generates expressive quantum features that... read more 
Quantum Physics cs.CV cs.LG

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach

arXiv Feb 20, 2026
Quantum reservoir computers (QRCs) have emerged as a promising approach to quantum machine learning, since they utilize the natural dynamics of quantum systems for data processing and are simple to train. Here, we consider n-qubit quantum extreme lea... read more 
Quantum Physics cs.LG

Self-Aware Object Detection via Degradation Manifolds

arXiv Feb 20, 2026
Object detectors achieve strong performance under nominal imaging conditions but can fail silently when exposed to blur, noise, compression, adverse weather, or resolution changes. In safety-critical settings, it is therefore insufficient to produce ... read more 
Computer Vision and Pattern Recognition

Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis

arXiv Feb 20, 2026
Missing data problems, such as missing modalities in multi-modal brain MRI and missing slices in cardiac MRI, pose significant challenges in clinical practice. Existing methods rely on external guidance to supply detailed missing state for instructin... read more 
Image and Video Processing cs.CV

Hierarchical Distribution of Reward Representation in the Cortical and Hippocampal Regions.

eNeuro Feb 20, 2026
Dopaminergic inputs to various brain regions, such as the striatum, orbitofrontal cortex, and amygdala, play a critical role in processing reward acquisition information. While reward-related activity is also observed more broadly in motor, parietal,... read more 

Mosquito-inspired active tactile perception for indoor navigation and escape of a rigid-soft coupling blimp robot.

Bioinspiration & biomimetics Feb 20, 2026
For autonomous navigation in indoor environments, aerial robots mostly take cameras, LiDAR, ultrasonic ranging sensors, and other devices for collision avoidance, rarely using tactile sensors. However, cameras are susceptible to lighting conditions, ... read more 

[Dual role of tea consumption in gastrointestinal disease risks: analysis using a risk prediction model integrating interpretable machine learning and large language model].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Feb 20, 2026
OBJECTIVES: To explore the correlation of tea consumption with risks of gastrointestinal diseases using a risk prediction model integrating interpretable machine learning and a large language model. METHODS: A survey was conducted among the patients ... read more 
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