Artificial Intelligence Medical Compendium

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

Showing 1,661 to 1,670 of 6,954 articles

Investigation of cold formed steel angle compression through high throughput design FEA and machine learning.

Scientific reports
This research investigates the finite element analysis (FEA) of cold-formed steel (CFS) L-columns with pin-ended supports under compression. The study involves a comprehensive parametric analysis with 110 FE models to assess the effects of section th... read more 

The comparative study of machine learning agent models in flood forecasting for tidal river reaches.

Scientific reports
The tidal reach of the Tanjiang River Basin, influenced by both runoff and tidal forces, exhibits complex and variable water levels and river flow conditions. Traditional hydrodynamic models struggle to meet the timeliness requirements for flood fore... read more 

Exploration of the potential therapeutic effects and targets of Coriandrum sativum on non-erosive esophagitis based on bioinformatics and molecular dynamics simulation.

Scientific reports
Gastroesophageal reflux disease (GERD) is one of the most frequently diagnosed gastrointestinal disorders, adversely affecting quality of life. Coriandrum sativum has been shown to effectively promote gastrointestinal motility, alleviate gastric disc... read more 

Estimating motor symptom presence and severity in Parkinson's disease from wrist accelerometer time series using ROCKET and InceptionTime.

Scientific reports
Parkinson's disease (PD) is a neurodegenerative condition characterized by frequently changing motor symptoms, necessitating continuous symptom monitoring for more targeted treatment. Classical time series classification and deep learning techniques ... read more 

Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology.

Scientific reports
The growing adoption of intelligent transportation systems and connected vehicle networks has raised significant cybersecurity concerns due to their vulnerability to cyberattacks such as spoofing, message tampering, and denial-of-service. Traditional... read more 

Predicting photodegradation rate constants of water pollutants on TiO using graph neural network and combined experimental-graph features.

Scientific reports
Photocatalytic materials, which are known for their ability to harness solar energy to facilitate chemical reactions, are widely used in environmental remediation, including wastewater treatment. The efficiency of photocatalytic reactions in degradin... read more 

Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction.

Scientific reports
Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Global Registry of Acute Coronary Events (GRACE) score assesses cardiovascular risk post-ACS. This study evaluated whether incorporating the STOP-BANG sc... read more 

AquaFlowNet a machine learning based framework for real time wastewater flow management and optimization.

Scientific reports
This paper presents AquaFlowNet, a machine learning-based algorithm for real-time wastewater flow management. It addresses critical challenges related to operational efficiency, resource optimization, and environmental sustainability. Wastewater mana... read more 

Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motion.

Scientific reports
Fractional Brownian motion (fBm) exhibits both randomness and strong scale-free correlations, posing a challenge for generative artificial intelligence to replicate the underlying stochastic process. In this study, we evaluate the performance of diff... read more 

Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels.

Scientific reports
Artificial Intelligence (AI) has been extensively utilized for streamflow prediction, primarily in gauged watersheds using meteorological and historical streamflow data. However, its application in data-limited regions requires innovative approaches ... read more