Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The results of the study have ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

Background/Aims On 17 September 2024, over 3000 pager devices containing explosives were remotely detonated across Lebanon in ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

1 School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China 2 Shandong Key Laboratory of Deep Sea Equipment Intelligent Networking, Qingdao, Shandong, ...