Results 181 to 190 of about 2,263,293 (338)
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech
, 2013 Recently there has been increasing interest in ways of using out-of-domain (OOD) data to improve automatic speech recognition performance in domains where only limited data is available.
Bell, P. +6 more
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Development of High Accuracy Classifier for the Speaker Recognition System.
Appl Bionics Biomech, 2021 Al-Hassani RT, Atilla DC, Aydin Ç.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Analysis of unsupervised and noise-robust speaker-adaptive HMM-based speech synthesis systems toward a unified ASR and TTS framework [PDF]
, 2009 For the 2009 Blizzard Challenge we have built an unsupervised version of the HTS-2008 speaker-adaptive HMM-based speech synthesis system for English, and a noise robust version of the systems for Mandarin.
King, S.; id_orcid +13 more
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A 17 Year Old With Developmental Delay Presenting With Increasing Confusion and Imbalance
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Methylmalonic acidemia is an autosomal recessive genetic disorder primarily caused by defects in methylmalonyl‐CoA mutase and cobalamin (vitamin B12) metabolism. These defects disrupt the tricarboxylic acid cycle and oxidative phosphorylation, leading to the abnormal accumulation of metabolic products such as methylmalonic acid, propionic acid,
Wei Zhao, Yingli Zhang, Hongliang Zheng
wiley +1 more source
Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito +8 more
wiley +1 more source
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
Development of machine learning based speaker recognition system
, 2010 In this thesis, we describe a biometric authentication system that is capable of recognizing its users’ voice using advanced machine learning and digital signal processing tools.
Pekcan, Onur
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