Artificial Intelligence Medical Compendium

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

Showing 1,251 to 1,260 of 163,745 articles

A Fast Parallel Median Filtering Algorithm Using Hierarchical Tiling

arXiv Jul 26, 2025
Median filtering is a non-linear smoothing technique widely used in digital image processing to remove noise while retaining sharp edges. It is particularly well suited to removing outliers (impulse noise) or granular artifacts (speckle noise). How... read more 
Distributed, Parallel, and Cluster Computing Computer Vision and Pattern Recognition I.3.1; I.4.3

The Effect of Pointer Analysis on Semantic Conflict Detection

arXiv Jul 26, 2025
Current merge tools don't detect semantic conflicts, which occur when changes from different developers are textually integrated but semantically interfere with each other. Although researchers have proposed static analyses for detecting semantic c... read more 
Software Engineering

Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

Annals of surgical oncology Jul 26, 2025
BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric cancer and is a major cause of mortality. Current diagnostic approaches suffer from low sensitivity, time-consuming procedures, and cannot provide real-ti... read more 

Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks.

Scientific reports Jul 26, 2025
Energy hubs (EHs) are considered a promising solution for multi-energy resources, providing advanced system efficiency and resilience. However, their operation is often challenged by the need for techno-economic trade-offs and the uncertainties relat... read more 

Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica.

Scientific reports Jul 26, 2025
Uncrewed aerial vehicles (UAVs) have become essential for remote sensing in extreme environments like Antarctica, but detecting moss and lichen using conventional red, green, blue (RGB) and multispectral sensors remains challenging. This study invest... read more 

A Metabolic-Imaging Integrated Model for Prognostic Prediction in Colorectal Liver Metastases

arXiv Jul 26, 2025
Prognostic evaluation in patients with colorectal liver metastases (CRLM) remains challenging due to suboptimal accuracy of conventional clinical models. This study developed and validated a robust machine learning model for predicting postoperativ... read more 
Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Quantitative Methods

A mini-batch training strategy for deep subspace clustering networks

arXiv Jul 26, 2025
Mini-batch training is a cornerstone of modern deep learning, offering computational efficiency and scalability for training complex architectures. However, existing deep subspace clustering (DSC) methods, which typically combine an autoencoder wit... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

$K^4$: Online Log Anomaly Detection Via Unsupervised Typicality Learning

arXiv Jul 26, 2025
Existing Log Anomaly Detection (LogAD) methods are often slow, dependent on error-prone parsing, and use unrealistic evaluation protocols. We introduce $K^4$, an unsupervised and parser-independent framework for high-performance online detection. $... read more 
Machine Learning Computation and Language Distributed, Parallel, and Cluster Computing

A Wearable Electrochemical Biosensor for Salivary Detection of Periodontal Inflammation Biomarkers: Molecularly Imprinted Polymer Sensor with Deep Learning Integration.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 26, 2025
The work presented here introduces a developed electrochemical biosensor for the salivary detection of matrix metalloproteinase-8 (MMP-8), utilizing a molecularly imprinted polymer (MIP) matrix based on poly(o-phenylenediamine). To enhance detection ... read more 

Contextual structured annotations on PACS: a futuristic vision for reporting routine oncologic imaging studies and its potential to transform clinical work and research.

Abdominal radiology (New York) Jul 26, 2025
Radiologists currently have very limited and time-consuming options to annotate findings on the images and are mostly limited to arrows, calipers and lines to annotate any type of findings on most PACS systems. We propose a framework placing encoded,... read more 
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