The LLM group showed "weaker memory traces, reduced self-monitoring and fragmented authorship," the study authors wrote. That ...

Pediatric epilepsy is a complex and heterogeneous neurological disorder characterized by recurrent seizures due to abnormal ...

Uzbekistan now ranks among the fastest climbers on the Youth Development Index, and is one of the top 10 countries ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Artificial intelligence is changing how doctors detect child abuse in hospital emergency rooms. New research shows that AI ...

EEG signals are often-used modalities for monitoring mental arithmetic performance. In order to learn robust characteristics and predict the level of classification from EEG, we provide a deep neural ...

A linear Support Vector Machine (SVM) classifier is designed to detect and classify seizures in EEG signals based on a few simple features such as mean, variance, dominant frequency, and the mean ...

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Methods: We applied random forest machine learning, the InfiniumPurify algorithm, and the ESTIMATE algorithm to estimate the tumor purity of every child’s CNS tumor sample in several published ...