Results 201 to 210 of about 141,350 (263)

Myocardial inflammation is associated with impaired mitochondrial oxidative capacity in ischaemic cardiomyopathy

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 1246-1255, April 2025.
Abstract Aims Myocardial inflammation and impaired mitochondrial oxidative capacity are hallmarks of heart failure (HF) pathophysiology. The extent of myocardial inflammation in patients suffering from ischaemic cardiomyopathy (ICM) or dilated cardiomyopathy (DCM) and its association with mitochondrial energy metabolism are unknown.
Julius Borger   +15 more
wiley   +1 more source

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

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

Preclinical HistoBench: A Pilot Benchmark Dataset for Evaluating Large Language Models on Preclinical Histopathological Classification. [PDF]

open access: yesBiology (Basel)
Kader A   +6 more
europepmc   +1 more source

Ambient technology in epilepsy clinical practice

open access: yesEpilepsia 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   +3 more
wiley   +1 more source

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