Results 201 to 210 of about 34,912 (272)

Knowledge graph-augmented large language models for reconstructing life course risk pathways: a gestational diabetes mellitus-to-dementia case study. [PDF]

J Am Med Inform Assoc
Wang S, Zhang Y, Gao Y, He X, Deng G, Du J.   +5 more
europepmc   +1 more source

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
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, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source

Visual recognition limitations in multimodal large language models: A comparative analysis of histological image interpretation. [PDF]

PLOS Digit Health
Mavrych V, Yousef EM, Yaqinuddin A, Shaikh AA, Bolgova O.   +4 more
europepmc   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

Analysis of Large Language Model Decision Making in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Early Breast Cancer. [PDF]

JCO Clin Cancer Inform
Buonaiuto R, Caltavituro A, Di Rienzo R, Grieco A, Mangiacotti FP, Longobardi A, Cantile V, Molinaro V, Pagliuca M, Buono G, De Placido P, Pietroluongo E, Forestieri V, Martinelli C, di Lauro V, Leo L, D'Aiuto M, Bianchini G, Criscitiello C, Bianco R, Del Mastro L, De Laurentiis M, Arpino G, De Angelis C, Giuliano M.   +24 more
europepmc   +1 more source

Evaluating the impact of an AI‐powered chatbot on epilepsy education and stigma reduction: A pre‐post intervention study using EpiloBot

Epilepsia Open, EarlyView.
Abstract Objective Effective epilepsy management requires accurate epilepsy knowledge, active patient engagement, and stigma reduction to improve health outcomes. Educational interventions have been shown to enhance patients' quality of life (QOL) and knowledge. This study evaluated the effectiveness of EpiloBot, an artificial intelligence (AI)‐powered
Izumi Kuramochi, Ryoya Oba, Naoki Nozawa, Tomoki Ishihara, Koko Oga, Takayuki Iwayama, Takafumi Shiganami, Sayaka Kobayashi, Hironori Kuga, Haruo Yoshimasu, Keiichi Watanuki   +10 more
wiley   +1 more source

EEG response and productivity outcome under changing indoor environment. [PDF]

Front Public Health
Zhang S, Ma T, Zuoqiu S.
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