Artificial Intelligence Medical Compendium

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

Showing 1,721 to 1,730 of 6,954 articles

Leveraging deep learning and graph analysis for enhanced course recommendations in online education.

Scientific reports May 28, 2025
Online education growth requires the development of effective customized recommendation systems to improve student involvement and educational performance. This research, suggests new hybrid model based on Convolutional Neural Networks (CNNs) with gr... read more 

Rapid diagnosis of TERT promoter mutation using Terahertz absorption spectroscopy in glioblastoma.

Scientific reports May 27, 2025
Glioblastoma (GBM) is a highly aggressive brain tumor with poor outcomes and limited treatment options. The telomerase reverse transcriptase (TERT) promoter mutation, one of the key biomarkers in GBM, is linked to tumor progression and prognosis. Thi... read more 
Humans Female Biomarkers, Tumor Brain Neoplasms Male Middle Aged ROC Curve Principal Component Analysis Glioblastoma Mutation Promoter Regions, Genetic Telomerase Terahertz Spectroscopy

Smart intrusion detection model to identify unknown attacks for improved road safety and management.

Scientific reports May 27, 2025
The Internet of Vehicles (IoV) has emerged as a transformative technology for intelligent transportation systems, enabling real-time communication between vehicles, infrastructure and external networks. However, this connectivity also introduces sign... read more 

Assessing climate and land use impacts on surface water yield using remote sensing and machine learning.

Scientific reports May 27, 2025
Climate and land use changes are critical factors affecting watershed water yields, with significant implications for water resources at both local and regional levels. This study examined the combined effects of temporal and spatial climate variabil... read more 

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Scientific reports May 27, 2025
Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through mechanisms involving endoplasmic reticulum stress and other pathophysiological pathways. This study aimed to identify and validate ICD-related biomar... read more 
Humans Biomarkers Gene Expression Profiling Sepsis ROC Curve Gene Regulatory Networks Computational Biology Databases, Genetic Cell Death

Bayesian network structure learning by opposition-based learning.

Scientific reports May 27, 2025
As a classical basic model for causal inference, Bayesian networks are of vital importance both in artificial intelligence with uncertainty and interpretability. The significant status of Bayesian networks in these research orientations depends on it... read more 

Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems.

Scientific reports May 27, 2025
Markerless motion capture (ML) systems, which utilize deep learning algorithms, have significantly expanded the applications of biomechanical analysis. Jump tests are now essential tools for athlete monitoring and injury prevention. However, the vali... read more 
Humans Young Adult Biomechanical Phenomena Male Lower Extremity Knee Joint Kinetics Athletes Hip Joint Ankle Joint Movement Motion Capture

A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors.

Scientific reports May 27, 2025
Breast cancer remains a leading cause of mortality in women, underscoring the need for timely and accurate diagnosis. This paper addresses this challenge by introducing a comprehensive explainable federated learning framework for breast cancer predic... read more 
Humans Neural Networks, Computer Artificial Intelligence Female Risk Factors Breast Neoplasms Deep Learning

Modeling energy consumption indexes of an industrial cement ball mill for sustainable production.

Scientific reports May 27, 2025
The total cement energy consumption is around 5% of global industrial energy usage. In cement plants, mills consume half of this energy for dry grinding particles. However, grinding in tumbling mills is a random process, and a maximum of 5% of this e... read more 

Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections.

Scientific reports May 27, 2025
The increasing adoption of machine learning (ML) in fiber-reinforced polymer (FRP) composite design has led to a reliance on black-box models, which achieve high predictive accuracy but lack interpretability. Python symbolic regression (PySR) offers ... read more 
Popular Topics
Recent Journals