Results 191 to 200 of about 1,116,213 (299)

Quantifying the impact of a computer‐aided diagnostic score on the clinical diagnosis of functional seizures

open access: yesEpilepsia, EarlyView.
Abstract Objective The diagnosis of functional/dissociative seizures (FDS) without ictal video‐electroencephalography is challenging. The Functional/Dissociative Seizures Likelihood Score (FSLS) is a machine learning‐based diagnostic score that aims to help clinicians identify FDS.
Wesley T. Kerr   +38 more
wiley   +1 more source

Are single‐item global rating scales the same, better, or worse than multi‐item scales in epilepsy: A scoping review and meta‐analysis

open access: yesEpilepsia, EarlyView.
Abstract Objective To examine the performance of single‐item global ratings (SIGRs) and multi‐item scales (MISs) in epilepsy research, and assess the influence of diverse constructs, study designs, and statistical methods. Methods Systematic scoping review following Preferred Reporting Items for Systematic reviews and Meta‐Analyses (PRISMA) and Joanna ...
Ann Subota   +2 more
wiley   +1 more source

Efficacy of a Technology-Enhanced Community Health Nursing Intervention vs Standard of Care for Female Adolescents and Young Adults With Pelvic Inflammatory Disease: A Randomized Clinical Trial.

open access: yesJAMA Netw Open, 2019
Trent M   +9 more
europepmc   +1 more source

Communication regarding sudden unexpected death in epilepsy to people with epilepsy and their caregivers: A scoping review from the ILAE Sudden Unexpected Death in Epilepsy Task Force

open access: yesEpilepsia, EarlyView.
Abstract Discussing sudden unexpected death in epilepsy (SUDEP) is difficult and sensitive for health care providers (HCPs), people with epilepsy (PwE), and caregivers. This scoping review examines the literature on SUDEP communication, focusing on need, timing, content, methods, facilitators, barriers, and outcomes. We performed a thematic analysis to
Amir Aschner   +5 more
wiley   +1 more source

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

open access: yesEpilepsia 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   +4 more
wiley   +1 more source

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

open access: yesEpilepsia 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   +10 more
wiley   +1 more source

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