Artificial Intelligence Medical Compendium

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

Showing 48,041 to 48,050 of 224,199 articles

Regarding the Article "Segmentation of Cemento-Osseous Dysplasias Using an Artificial Intelligence Algorithm".

International dental journal Feb 22, 2026
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Gradient magnitude-based texture feature of the entorhinal cortex as a biomarker for Alzheimer's disease.

European journal of radiology Feb 22, 2026
Volumetric analysis of brain structures is widely used to detect pathological changes in Alzheimer's disease (AD), but it has limited sensitivity to subtle tissue alterations. This study proposes a gradient magnitude-based feature derived from the no... read more 

Three-dimensional fluorescence spectroscopy recognition and component analysis based on machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 22, 2026
Three-dimensional excitation-emission matrix (EEM) fluorescence spectroscopy has received extensive attention in the identification of fluorescent substances due to its advantages of low cost, convenient operation and high sensitivity. However, the c... read more 

GUIDE-US: Grade-Informed Unpaired Distillation of Encoder Knowledge from Histopathology to Micro-UltraSound

arXiv Feb 22, 2026
Purpose: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedite triage and guide biopsies toward the most aggressive regions, yet current models struggle to infer tissue micro-structure at coarse imaging resolut... read more 
Computer Vision and Pattern Recognition cs.LG

TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery

arXiv Feb 22, 2026
Generative AI models pose a significant challenge to intellectual property (IP), as they can replicate unique artistic styles and concepts without attribution. While watermarking offers a potential solution, existing methods often fail in complex sce... read more 
Computer Vision and Pattern Recognition

Pushing the Limits of Inverse Lithography with Generative Reinforcement Learning

arXiv Feb 22, 2026
Inverse lithography (ILT) is critical for modern semiconductor manufacturing but suffers from highly non-convex objectives that often trap optimization in poor local minima. Generative AI has been explored to warm-start ILT, yet most approaches train... read more 
Machine Learning cs.AI

SKYLIGHT: A Scalable Hundred-Channel 3D Photonic In-Memory Tensor Core Architecture for Real-time AI Inference

arXiv Feb 22, 2026
The growing computational demands of artificial intelligence (AI) are challenging conventional electronics, making photonic computing a promising alternative. However, existing photonic architectures face fundamental scalability and reliability barri... read more 
Emerging Technologies cs.AR

A Markovian View of Iterative-Feedback Loops in Image Generative Models: Neural Resonance and Model Collapse

arXiv Feb 22, 2026
AI training datasets will inevitably contain AI-generated examples, leading to ``feedback'' in which the output of one model impacts the training of another. It is known that such iterative feedback can lead to model collapse, yet the mechanisms unde... read more 
Machine Learning cs.AI cs.CV

Automated Disentangling Analysis of Skin Colour for Lesion Images

arXiv Feb 22, 2026
Machine-learning models working on skin images often have degraded performance when the skin colour captured in images (SCCI) differs between training and deployment. Such differences arise from entangled environmental factors (e.g., illumination, ca... read more 
Image and Video Processing cs.CV

ChordEdit: One-Step Low-Energy Transport for Image Editing

arXiv Feb 22, 2026
The advent of one-step text-to-image (T2I) models offers unprecedented synthesis speed. However, their application to text-guided image editing remains severely hampered, as forcing existing training-free editors into a single inference step fails. T... read more 
Computer Vision and Pattern Recognition
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