Artificial Intelligence Medical Compendium

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

Showing 811 to 820 of 6,689 articles

Exploring the impact of neutrophils on lung adenocarcinoma using Mendelian randomization and transcriptomic study.

Scientific reports
Tumor immune microenvironment plays a crucial role in determining the prognosis of lung adenocarcinoma (LUAD), with the interaction of immune cells within this microenvironment contributing to a poorer prognosis. We sought to investigate the causal r... read more 

Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Scientific reports
Viral infections have spread globally, profoundly affecting social and economic aspects of life and causing widespread suffering. Infection caused by the hepatitis B virus (HBV) is one of the significant global health challenges but can be effectivel... read more 

Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters.

Scientific reports
The diagnostic delay in celiac disease (CD) is currently a burden for individual and society. Biochemical tests may be used in risk-identification of CD to reduce the diagnostic delay, and we aimed to explore prediction models for CD antibody seropos... read more 

An improved lightweight method based on EfficientNet for birdsong recognition.

Scientific reports
In the context of birdsong recognition, conventional modeling approaches often involve a significant number of parameters and high computational costs, rendering them unsuitable for deployment in embedded field monitoring devices. To improve the conv... read more 

Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective.

Scientific reports
This study examines the time-dependent degradation of dye-sensitized solar cells (DSSCs) by systematically investigating several critical parameters, including TiO thickness, porosity, dye concentration, and iodine-based electrolyte concentration. We... read more 

Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in hepatocellular carcinoma.

Scientific reports
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, with a poor prognosis due to its aggressive nature and limited treatment options. Cytoskeletal dynamics play a critical role in tumor progression, but the prognostic... read more 

Diagnosis of psoriasis and lichen planus in real-time using neural networks based on skin Biomechanical properties obtained from numerical simulation.

Scientific reports
Due to their similar clinical presentations, the scarcity of competent dermatologists, and the urgency of diagnosis, the accurate diagnosis of dermatological conditions such as Psoriasis and Lichen Planus is challenging. This study introduces a novel... read more 

Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data.

Scientific reports
Basketball remains among the most globally popular sports, with its various competitions drawing substantial attention. The analysis and modeling of basketball game data have long been central topics in sports analytics. In recent years, integrating ... read more 

Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms.

Scientific reports
Malicious domains are one of the main resources mandatory for adversaries to run attacks over the Internet. Owing to the significant part of the domain name system (DNS), detailed research has been performed to detect malicious fields according to th... read more 

An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images.

Scientific reports
In recent years, unmanned aerial vehicles (UAVs) have attracted more attention. UAVs have numerous manifest benefits over traditional manned aircraft, mainly regarding operator safety, operational expense, and the possibility of complex/hazardous env... read more