Results 201 to 210 of about 13,051 (299)

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

Development and validation of the conversational AI dependence scale for Chinese college students. [PDF]

Front Psychol
Chen Y, Wang M, Yuan S, Zhao Y.
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

Clinician-Led Development and Feasibility of a Neural Network for Assessing 3D Dental Cavity Preparations Assisted by Conversational AI. [PDF]

Dent J (Basel)
El-Hakim M, Khaled H, Fawzy A, Anthonappa R.   +3 more
europepmc   +1 more source

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

The FAIIR conversational AI agent assistant for youth mental health service provision. [PDF]

NPJ Digit Med
Obadinma S, Lachana A, Norman ML, Rankin J, Yu J, Zhu X, Mastropaolo D, Pandya D, Sultan R, Dolatabadi E.   +9 more
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

Efficacy of a Conversational AI Agent for Psychiatric Symptoms and Digital Therapeutic Alliance: A Randomized Clinical Trial.

JAMA Netw Open
Shoshani A, Gurfinkel B, Kor A, Ben-Haim Y, Kanarek O, Segev R, Shafir O, Arbel R.   +7 more
europepmc   +1 more source

Conversational AI-Enabled Precision Oncology Reveals Context-Dependent MAPK Pathway Alterations in Hispanic/Latino and Non-Hispanic White Colorectal Cancer Stratified by Age and FOLFOX Exposure. [PDF]

Cancers (Basel)
Diaz FC, Waldrup B, Carranza FG, Manjarrez S, Velazquez-Villarreal E.   +4 more
europepmc   +1 more source

Natural language processing‐based emotion and usage analysis of an AI‐powered chatbot for epilepsy support

Epilepsia Open, EarlyView.
Abstract Objective Artificial intelligence (AI)‐powered chatbots are increasingly used for patient education and mental health support, yet their effectiveness in epilepsy care remains underexplored. This study examines text‐based interactions between users and EpiloBot, an epilepsy‐focused chatbot, to understand conversational patterns and emotional ...
Keiichi Watanuki, Ryoya Oba, Naoki Nozawa, Tomoki Ishihara, Koko Oga, Takayuki Iwayama, Takafumi Shiganami, Sayaka Kobayashi, Hironori Kuga, Haruo Yoshimasu, Izumi Kuramochi   +10 more
wiley   +1 more source