Artificial Intelligence Medical Compendium

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

Showing 57,001 to 57,010 of 227,153 articles

Predicting postoperative delirium after lung cancer resection: the utility of synthetic data and LIME algorithm for model interpretation.

Scientific reports
To construct an efficient predictive model for post-lung cancer resection delirium (POD) using artificial intelligence, with a focus on leveraging synthetic data (generated via the Synthetic Data Vault [SDV] framework) in small-sample training scenar... read more 

SENTINEL-DL: a forensic framework for device attribution using motion sensor data.

Scientific reports
This paper introduces SENTINEL-DL-a novel forensic framework which leverages accelerometer sensory data to associate motion-based digital evidence to its corresponding smartphone or smartwatch models. SENTINEL-DL analyzes robust tamper-resistant intr... read more 

Deep neural network-based biostatistical analysis for disease marker screening.

Scientific reports
Traditional statistical methods have limitations when dealing with high-dimensional, small-sample data. Deep learning methods have attracted widespread attention due to their powerful feature learning capabilities. Leveraging deep neural networks (DN... read more 

Metadata driven malicious URL detection using RoBERTa large and multi source network threat intelligence.

Scientific reports
In this study, we address the critical security challenge of detecting malicious URLs, which serve as primary cause for website phishing, malware attacks, and website defacement. Detection of malicious links has remained active research in Artificial... read more 

Accuracy of DentalMonitoring's artificial intelligence in detecting common orthodontic braces treatment related emergencies.

Scientific reports
This study aimed to evaluate the diagnostic performance of DentalMonitoring™ (DM) (Dental Monitoring SAS, Paris, France), an FDA-cleared AI-powered orthodontic remote monitoring software, in detecting three common orthodontic appliance issues: bracke... read more 

A lightweight YOLO11n seg framework for real time surface crack detection with segmentation.

Scientific reports
The recognition of superficial cracks is essential to ensure the safety, durability, and longevity of civil infrastructure such as bridges, pavements, tunnels, and buildings. Traditional crack detection methods have been largely based on manual inspe... read more 

A hybrid CNN and reinforcement learning framework for speaker identification using Mel-Spectrogram and continuous wavelet transform features.

Scientific reports
Speaker identification remains critical in biometric authentication systems, requiring robust feature extraction strategies that capture speaker-specific vocal characteristics. This study introduces a hybrid deep learning architecture integrating Con... read more 

Integrated predictive model for visceral pleural invasion in small NSCLC with high clinical utility.

NPJ precision oncology
This study aims to develop and validate a multi-feature integrated imaging fusion (MIIF) model, incorporating deep learning, radiomics features, and computed tomography (CT) findings, for identifying visceral pleural invasion (VPI) in small non-small... read more