Results 181 to 190 of about 80,417 (346)

Development and Evaluation of a Hallucination Awareness Scale for Healthcare Professionals and its impact on diagnostic confidence. [PDF]

Front Digit Health
Tandon U.
europepmc   +1 more source

Mortality in functional seizures: Evidence from a large electronic health records dataset

Epilepsia, EarlyView.
Abstract Objective Several studies have found that people with functional seizures (FS) have increased mortality, approaching that of epilepsy (epileptic seizures [ES]). The small numbers of deaths in these studies make it unclear whether they can be attributed to comorbidities. We used a very large electronic health database to compare mortality in FS
Richard A. Kanaan, Rok Berlot, Tom Pollak, Markus Reuber, Stoyan Popkirov   +4 more
wiley   +1 more source

Affirming generative artificial intelligence as a co-pilot, not a co-author, in medical and scientific writing. [PDF]

Malays Fam Physician
Wattanapisit A, Wattanapisit S, Mallen C.   +2 more
europepmc   +1 more source

Pediatric sensorimotor cortical responsiveness to intracerebral stimulation during stereoelectroencephalographic monitoring: Age effects and area specificity

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to determine how age influences clinical responsiveness to intracerebral electrical stimulation (IES) in children across primary and secondary sensorimotor cortices and to assess age effects on response complexity and area‐specific responsiveness.
Giulia Nobile, Laura Tassi, Marta Ponzano, Piergiorgio d'Orio, Alessandro Consales, Luca Bosisio, Stefano Francione, Gabriele Arnulfo, Maria Pia Sormani, Lino Nobili, Roberto Mai   +10 more
wiley   +1 more source

Modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms. [PDF]

Elife
Bredenberg C, Normandin F, Richards B, Lajoie G.   +3 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

On Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report). [PDF]

J Nucl Med
Xia M, Bayerlein R, Chemli Y, Liu X, Ouyang J, Lin M, El Fakhri G, Badawi RD, Li Q, Liu C.   +9 more
europepmc   +1 more source

Testosterone hallucination by artificial intelligence? ENZAMET trial, in the Spring of 2023

Gilles Natchagandé, Vincent Vinh‐Hung, Claire F. Verschraegen   +2 more
openalex   +1 more source

Correlation analysis of auditory verbal hallucination and insulin resistance in first⁃episode schizophrenia

, 2022
Liang Ying, LANG Xiao'e, HOU Qinqiang, CHAI Na, Hao Meng, Li Kaiwen, LIU Cai, LI Wenxin, LAN Yu   +8 more
openalex   +1 more source

Epilepsy syndromes classification

Epilepsia Open, EarlyView.
Abstract Epilepsy syndromes are distinct electroclinical entities which have been recently defined by the International League Against Epilepsy Nosology and Definitions Task Force. Each syndrome is associated with “a characteristic cluster of clinical and EEG features, often supported by specific etiologic findings”.
Elaine C. Wirrell, Nicola Specchio, Rima Nabbout, Phillip L. Pearl, Kate Riney   +4 more
wiley   +1 more source