Results 181 to 190 of about 82,529 (316)

Interocular Comparison of Refractive Development in Children With Unilateral Traumatic Optic Neuropathy. [PDF]

Transl Vis Sci Technol
Liao L, Gao Y, Feng X, Li J, Jin L, Lu R, Ding X.   +6 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

Enhancing diabetes risk stratification through natural language processing: a multimodal data integration approach. [PDF]

Front Public Health
Lu Y, Li T, Ge L, Wei Y, Li Y, Huang S, Jiang T, Chen Y, Xiang Z.   +8 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

Refractory nail lichen planus treated successfully with the Janus kinase 1 inhibitor abrocitinib: A case report. [PDF]

J Int Med Res
Wang L, Lei X, Li L, Cheng Q.
europepmc   +1 more source

Preface. Proceedings of the Joint 6th Workshop on NLP for Computer Assisted Language Learning and 2nd Workshop on NLP for Research on Language Acquisition at NoDaLiDa 2017, Gothenburg, 22nd May 2017

, 2017
For the second year in a row we brought two related themes of NLP for Computer-Assisted Language Learning and NLP for Language Acquisition together. The goal of organizing joint workshops is to provide a meeting place for researchers working on language ...
Nilsson Björkenstam, Kristina, Pilán, Ildikó,, Grigonyte, Gintare, Volodina, Elena,, Borin, Lars,   +4 more
core  

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

Integration of PBL-Informed Medical Cases into First-Year Chemistry Laboratories in a Traditional Medical Curriculum: Perceived Educational Outcomes from NLP-Based Sentiment Analysis. [PDF]

Adv Med Educ Pract
Loizou S, Koshiaris C, Sivalingam A, Aharonson V.   +3 more
europepmc   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source