Results 261 to 270 of about 320,700 (338)
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley +1 more source
The Impact of Endoscopic-Assisted Arytenoid Adduction Surgery on Phonation Disorder Voice Handicap
Takaaki Murata+4 more
openalex +2 more sources
HCN2‐Associated Neurodevelopmental Disorders: Data from Patients and Xenopus Cell Models
Objective We aimed to characterize the phenotypic spectrum and functional consequences associated with variants in HCN2, encoding for the hyperpolarization‐activated cyclic nucleotide (HCN) gated channel 2. Methods GeneMatcher facilitated the recruitment of 21 individuals with HCN2 variants from 15 unrelated families, carrying HCN2 variants.
Clara Houdayer+52 more
wiley +1 more source
Voice Onset Time in Individuals With Hyperfunctional Voice Disorders: Evidence for Disordered Vocal Motor Control. [PDF]
McKenna VS+3 more
europepmc +1 more source
Deep Brain Stimulation for VPS16‐Related Dystonia: A Multicenter Study
Objective The objective was to evaluate the effects of deep brain stimulation (DBS) in an international cohort of patients with VPS16‐related dystonia. Methods This observational study collected preoperative and postoperative demographic, clinical, stimulation, genetic, neuroimaging, and neurophysiological data of medically refractory DYT‐VPS16 ...
Tatiana Svorenova+46 more
wiley +1 more source
Objectives Prospective studies demonstrated that essential tremor is a risk factor for Parkinson's disease. Identifying clinical markers for conversion from essential tremor to essential tremor‐Parkinson's disease would be of considerable value. Rest tremor can be present in advanced essential tremor and may be a harbinger of conversion. We examined (1)
Elan D. Louis+3 more
wiley +1 more source
Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings. [PDF]
Schlegel P+4 more
europepmc +1 more source
EFFICACY OF AYURVEDIC MEDICINE ON THE VOICE OF INDIVIDUALS WITH HYPERFUNCTIONAL VOICE DISORDERS
Namita Joshi+4 more
openalex +1 more source
Mapping Postictal Aphasia through Signal Complexity: A Stereo‐Electroencephalography Study
Objective The postictal period provides an opportunity to investigate the pathophysiology underlying aphasia and recovery following epileptic seizures. This study examines postictal aphasia in stereo‐electroencephalography (SEEG)‐explored patients to identify brain regions associated with task‐specific language deficits using signal complexity analysis.
Ionuț‐Flavius Bratu+6 more
wiley +1 more source