Artificial Intelligence Medical Compendium

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

Showing 1,521 to 1,530 of 163,957 articles

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)
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 

A novel dual-student reverse knowledge distillation method for magnetic tile defect detection.

Scientific reports
Magnetic tiles surface defect detection is crucial in industrial production. However, it is difficult to effectively detect and locate defective areas in magnetic tiles due to the following problems: (1) The defect texture of the magnetic tile materi... read more 

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost

arXiv
Precise fare prediction is crucial in ride-hailing platforms and urban mobility systems. This study examines three machine learning models-Graph Attention Networks (GAT), XGBoost, and TimesNet to evaluate their predictive capabilities for taxi fare... read more 

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

arXiv
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 

The Effect of Pointer Analysis on Semantic Conflict Detection

arXiv
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 

Deep learning application to hyphae and spores identification in fungal fluorescence images.

Scientific reports
This study explores the application of deep learning to fungal disease diagnosis, focusing on an automated detection system for hyphae and spores in clinical samples. This study employs a combination of the YOLOX and MobileNet V2 models to analyze fu... read more 

MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation

arXiv
Medical image segmentation plays an important role in computer-aided diagnosis. Traditional convolution-based U-shape segmentation architectures are usually limited by the local receptive field. Existing vision transformers have been widely applied... read more 

A comprehensive review of neural network-based approaches for drug-target interaction prediction.

Molecular diversity
Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. This review assesses the efficacy of neural network-based methods, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and T... read more 

Optimization of concrete with human hair using experimental study and artificial neural network via response surface methodology and ANOVA.

Scientific reports
The increasing demand for sustainable construction materials has prompted the investigation of non-biodegradable waste, such as human hair (HH), for concrete reinforcement. This study seeks to evaluate the impact of HH fiber on the fresh, physical, a... read more 

SkinDualGen: Prompt-Driven Diffusion for Simultaneous Image-Mask Generation in Skin Lesions

arXiv
Medical image analysis plays a pivotal role in the early diagnosis of diseases such as skin lesions. However, the scarcity of data and the class imbalance significantly hinder the performance of deep learning models. We propose a novel method that ... read more