Results 251 to 260 of about 188,258 (355)
Influence of casing material on the heat transfer performance of solid-state drives under natural convection. [PDF]
Zhang Z +5 more
europepmc +1 more source
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro +4 more
wiley +1 more source
Research on Multiscale Characterization and Computational Modeling/Simulation of Metallic Materials. [PDF]
Wang R, Li J.
europepmc +1 more source
Novel planning pipeline utilizing the Surgical Theater system for pediatric epilepsy surgery
Abstract Objective Advances in the analysis and collation of radiographic datasets have enhanced presurgical planning for various neurosurgical procedures, including clipping of cerebral aneurysms, surgical resection of tumors, and arteriovenous malformation management.
Lisa B. E. Shields +4 more
wiley +1 more source
Computational Fluid Dynamics Reveals Mass Transfer Limitations in a Pilot-Scale Microbial Electrolysis Cell. [PDF]
Guerrero-Sodric O +4 more
europepmc +1 more source
Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley +1 more source
Modal response characterizations and mechanism separation modeling of amphibious vehicle body under different water entry depths. [PDF]
Li G +6 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source

