Results 191 to 200 of about 12,101 (223)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
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, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Comprehension strategy instruction for Hispanic children with mathematical learning difficulties. [PDF]

Front Psychol
Orosco MJ, Mamedova S, Abdulrahim NA.
europepmc   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Variational free energy as a conceptual framework for understanding habituation in spinal cord stimulation. [PDF]

Front Pain Res (Lausanne)
Taghva A.
europepmc   +1 more source

Identifying key factors in building fires: A novel approach fusing K-shell entropy gravity. [PDF]

PLoS One
Yu Y, Wang N, Cui S, Zhao E.
europepmc   +1 more source

An approximate-copula distribution for statistical modeling. [PDF]

PLoS Comput Biol
Ji SS, Chu BB, Zhou H, Lange K.
europepmc   +1 more source

Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours. [PDF]

PLoS One
Warne DJ, Varghese A, Brewster A, Browning AP, Krell MM, Drovandi C, Hu W, Mira A, Mengersen K, Jenner AL.   +9 more
europepmc   +1 more source

anndataR improves interoperability between R and Python in single-cell transcriptomics. [PDF]

Bioinformatics
Deconinck L, Zappia L, Cannoodt R, Morgan M, Virshup I, Sang-Aram C, Bredikhin D, Schilder B, Seurinck R, Saeys Y, scverse core .   +10 more
europepmc   +1 more source

Methods for analytical validation of novel digital clinical measures: A simulation study. [PDF]

PLoS One
Turner S, Chen C, Acosta R, Chon R, Daza EJ, Floden L, Langford J, Simmatis L, Terluin B, Vandendriessche B, Fromy P.   +10 more
europepmc   +1 more source