Artificial Intelligence Medical Compendium

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

Showing 91 to 100 of 156,510 articles

Investment strategies for renewable energy technologies and harvesting systems in airport operations using spherical fuzzy MCDM models.

Scientific reports
This study presents a novel evaluation framework for prioritizing investment strategies in sustainable airport energy systems by integrating advanced fuzzy decision-making techniques with artificial intelligence-based expert weighting. Specifically, ...

A transfer learning based deep neural network adaptive controller for the Furuta pendulum subject to uncertain disturbance signals.

Scientific reports
In this study, a control algorithm that integrates a Deep Neural Network (DNN) adaptive control architecture with a robust disturbance rejection mechanism for the underactuated mechanical system referred to as the Futura Pendulum. The study has a hyb...

Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning.

Scientific reports
This study introduces two innovative methods-Three-frequency pseudorange combination (TFPC) and Three-frequency carrier phase combination (TFCPC)-for estimating soil moisture using GNSS-IR technology. Unlike traditional methods that require separatin...

Interpretable artificial intelligence for modulated metasurface antenna design using SHAP and MLP.

Scientific reports
Modulated metasurface-based leaky-wave antennas have garnered increasing attention due to their low profile, cost-efficiency, and versatility in applications such as telecommunications, imaging, and radar systems. These antennas offer fine control ov...

Predictive modeling and machine learning show poor performance of clinical, morphological, and hemodynamic parameters for small intracranial aneurysm rupture.

Scientific reports
Small intracranial aneurysms (SIAs) (< 5 mm) are increasingly detected due to advanced imaging, but predicting rupture risk remains challenging. Rupture, though rare, can cause devastating subarachnoid hemorrhage. This study analyzed 141 SIAs (101 un...

A systematic review of machine learning approaches in cochlear implant outcomes.

NPJ digital medicine
Cochlear implants (CIs) have transformed the lives of over one million individuals with hearing impairment, including children as young as nine months. This systematic review critically examines the current literature on the application of machine le...

Parametric optimization of the slot waveguide characteristics using a machine-learning approach.

Scientific reports
Slot waveguides provide high electric field amplitude and optical power in low-index materials that are not possible with conventional waveguides. This specific property of the slot waveguide provides interaction between active material and electric ...

Research on predicting the risk level of coal mine roof accident based on machine learning.

Scientific reports
Coal mine roof accidents are one of the main types of accidents leading to the decline of coal mine safety productivity, accounting for about 20% of the total number of coal mine safety accidents on average each year. In order to safeguard the safety...

Dosing prediction of valproic acid in pediatric patients with epilepsy: population pharmacokinetic model or machine learning model?

European journal of clinical pharmacology
PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine learning methods, including neural networks, to predict steady-state trough concentrations in pediatric patients and provide improved dosing recommendati...

Predicting soil compaction parameters in expansive soils using advanced machine learning models: a comparative study.

Scientific reports
Expansive soils present substantial challenges for construction projects, particularly in arid regions where their swelling and shrinking behavior can result in structural damage. This research conducted an in-depth analysis of 195 soil samples, inve...