Artificial Intelligence Medical Compendium

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

Showing 19,531 to 19,540 of 214,800 articles

PASTEC: an open clinical infrastructure for data aggregation and prospective validation of AI in cardiac remote monitoring.

NPJ digital medicine
Remote monitoring (RM) of cardiac implantable electronic devices generates large volumes of data that must be reviewed using vendor-specific platforms, creating a growing clinical workload. Although artificial intelligence (AI) could alleviate this b... read more 

A federated learning-benchmarking framework for privacy-preserving UAV intrusion detection using adaptive aggregation algorithms.

Scientific reports
The recent explosive growth of Unmanned Aerial Vehicles (UAVs) has contributed to their high vulnerability to cyber-attacks including Denial of Service (DoS), identity impersonation and unauthorized access to data. The UAV networks have the inherent ... read more 

Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models.

Scientific reports
Accurate identification of Allium seed genotypes is essential for cultivar authentication, breeding, and fraud prevention, yet remains challenging due to morphological similarities. This study evaluates the potential of a visible and near-infrared (V... read more 

A deep complementary learning framework for surface water temperature forecasting.

Scientific reports
Water temperature plays a pivotal role in shaping riverine ecosystems, exerting significant influence on a range of water quality parameters. However, accurately forecasting multi-temporal daily data remains challenging due to the non-stationary and ... read more 

Deep neural networks in medical microbiology for bacterial colonies classification.

Scientific reports
While automation has transformed many areas inside clinical laboratories, microbiology still relies heavily on manual tasks, particularly the culture of samples on agar plates and their subsequent manual review for microorganism identification and an... read more 

TaWSA-WRN: a Taylor wave search optimized WideResNet framework for intrusion detection with response-aware mitigation in cloud computing.

Scientific reports
Targeting cloud computing environments has become increasingly attractive to sophisticated cyberattackers due to their open, scalable, and distributed nature. Intrusion Detection Systems (IDSs) analyse traffic patterns to detect these attacks; deep l... read more 

Plasma acylcarnitine dysregulation associated with CPT1-mediated metabolism contributes to oral carcinogenesis.

Scientific reports
Growing evidence suggests that lipid metabolic reprogramming occurs in oral cancer (OC). We characterized circulating metabolic alterations associated with lipid metabolic reprogramming in OC. Semi-targeted and targeted plasma metabolomic profiling w... read more 

Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models.

Scientific reports
Flash floods represent one of the deadliest weather-related hazards globally, yet their prediction remains fundamentally challenged by extreme class imbalance in observational data. This study addresses a critical methodological gap: traditional eval... read more 

NerveAI- a machine learning algorithm for detection of nerve pain in the head and neck.

Scientific reports
Nerve pain screening in patients with headache disorders requires specialized clinical knowledge that is frequently not readily accessible at the initial point-of-care. This results in restricted access to early treatment, thereby increasing the risk... read more 

Development and Validation of a SHAP-Interpretable Machine Learning Model for Stroke Risk Prediction Using Circulating MicroRNA Biomarkers.

Journal of molecular neuroscience : MN
BACKGROUND/OBJECTIVE: Stroke remains a leading cause of morbidity and mortality worldwide. Circulating microRNAs (miRNAs) have emerged as promising non-invasive biomarkers for cardiovascular disease diagnosis and risk stratification. However, their i... read more