Results 121 to 130 of about 22,397 (171)

Core Elements, Development, and Implementation Strategies of the Nursing Minimum Data Set: Scoping Review.

JMIR Med Inform
Müller P, Gangnus A, Gayen K, Kirchner-Heklau U, Jahn P, Hofstetter S.   +5 more
europepmc   +1 more source

Unstable slow oscillations couple with epileptogenic fast‐rhythm bistability in sleep‐related epilepsy: A stereoelectroencephalographic study

Epilepsia, EarlyView.
We examined the functional relationship between large‐scale δ‐band phase synchrony and local epileptogenic β–γ‐band amplitude bistability during NREM sleep. Increased synchrony and strong bistability characterized the epileptogenic zone, with strongest effects during N2 sleep, when seizures most frequently occur.
Gaia Burlando, Chiara Belforte, Felix Siebenhühner, Luca Di Tullio, Lorenzo Chiarella, Vladislav Myrov, Frédéric Zubler, Monica Roascio, Francesco Cardinale, Satu Palva, J. Matias Palva, Laura Tassi, Lino Nobili, Gabriele Arnulfo, Sheng H. Wang   +14 more
wiley   +1 more source

Launch, Learn, Pivot, and Scale: Evolution of the Medical Innovators Development Program. [PDF]

J Med Educ Curric Dev
Sundrani S, Rosenbloom ST, Cutrer WB, Schuele CM, Bell C, Crook T, Omary RA, Buckley R.   +7 more
europepmc   +1 more source

Arterial spin labeling performs comparably to 2‐[18F]fluoro‐2‐deoxy‐D‐glucose positron emission tomography for presurgical evaluation in pediatric lesional epilepsy

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to test whether arterial spin labeling (ASL) performs comparably to 2‐[18F]fluoro‐2‐deoxy‐D‐glucose positron emission tomography (FDG‐PET), the mainstay functional imaging technique, in pediatric lesional epilepsy, while avoiding radiotracer exposure and additional sedation.
Antonio Giulio Gennari, Dorottya Cserpan, Raimund Kottke, Niklaus Krayenbühl, Michael Messerli, Martin W. Hüllner, Ruth O'Gorman Tuura, Georgia Ramantani   +7 more
wiley   +1 more source

Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges. [PDF]

J Am Med Inform Assoc
Poon EG, Lemak CH, Rojas JC, Guptill J, Classen D.   +4 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

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

Explosive neural networks via higher-order interactions in curved statistical manifolds. [PDF]

Nat Commun
Aguilera M, Morales PA, Rosas FE, Shimazaki H.   +3 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

A User-Centered Interface Design Framework for the DELONELINESS System in Older Adults: Design Indicator Development and Prioritization.

JMIR Hum Factors
Zhou Y, Rees J, Matcham F, Antonelli M, Ourselin S, Liu W.   +5 more
europepmc   +1 more source