Epileptic disorders : international epilepsy journal with videotape
Apr 29, 2026
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
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 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 chemistry and laboratory medicine
Apr 29, 2026
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
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
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
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
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
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
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
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.