Artificial Intelligence Medical Compendium

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

Showing 24,721 to 24,730 of 217,472 articles

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG.

Epileptic disorders : international epilepsy journal with videotape
OBJECTIVE: Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorit... read more 

A two-stage deep learning framework for lead instrument recognition in polyphonic music featuring Chinese instruments.

PloS one
Rapid advancement of deep learning methodologies has considerably progressed the domain of automatic music analysis; however, several challenges remain in adapting these approaches to the intricate and multifaceted realm of Chinese traditional music.... read more 

The Graphic Descriptor Ontology: An ontology for semantic annotation of graphics and its application to graphic libraries of anatomical standards.

PloS one
The information held by visual representations is typically opaque to information processing systems and able to be interpreted only by human viewers. We introduce the Graphics Descriptor Ontology (GDO) to serve as an ontology for domain-independent ... read more 

Clinical validation and implementation of mSTOP, a machine learning-based, longitudinal prediction model for the early identification of non-small cell lung cancer patients who not benefit from immune checkpoint inhibitor treatment.

Clinical chemistry and laboratory medicine
OBJECTIVES: There has been a lot of interest in the field of laboratory medicine regarding the use of machine learning (ML)-based prediction models. The longitudinal ML-based Serum Tumor marker-based Outcome Prediction (STOP) model was previously dev... read more 

Exploring the association between personality and attitudes towards ageing in UK and Canadian older adults': Use of a novel Behavioural Artificial Intelligence solution.

PloS one
Perceptions of ageing is an important psychosocial factor that influences health, wellbeing as well as engagement in health- promoting behaviours as people age. This study used a novel Behavioural Artificial Intelligence (AI) solution to examine the ... read more 

A GNN-based approach for accurate trade balance forecasting and interpretable analysis.

PloS one
In this study, we developed a machine learning pipeline to predict trade balances across 229 countries, utilizing a Graph Neural Network (GNN), and compared it with several deep learning and regression-based models. The data preprocessing involved ha... read more 

A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure.

PloS one
During long-term operation, turbofan engine sensors often suffer from partial damage or signal loss caused by complex flight environments, harsh mechanical vibrations, and thermal stresses. Such degradation in sensor reliability leads to incomplete o... read more 

Optimizing LSTM networks and feature selection algorithms using GEE data.

PloS one
Feature selection uncertainty and suboptimal model configuration in flood susceptibility mapping (FSM) are critical challenges for disaster risk reduction. This study introduces a novel integrated framework that couples feature selection strategy wit... read more 

DualFusionNet: A fusion-based dual architecture for visual quality control on fabric surfaces.

PloS one
Zippers are essential in fashion and beyond. Found on jackets, shoes, and bags, they provide a versatile and practical opening and closing mechanism that seamlessly integrates into everyday use and specialized applications. The quality control of zip... read more 

Social friction vs. cognitive efficiency: A comparative analysis of help-seeking behaviors in human communities and generative AI.

PloS one
Generative AI agents (e.g., ChatGPT) provide a private, low-latency environment for knowledge acquisition, distinct from public online communities where social evaluation is prevalent. This study investigates how the removal of social evaluation thre... read more