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| http://dx.doi.org/10.1161/CIRCEP.121.010465 | DOI Listing |
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Swallowing, speech and voice impairments in head and neck cancer patients treated at a multidisciplinary integrated patient unit.
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Hearing, Speech & Language Center, Sheba Medical Center, Tel Hashomer, Israel.
Background: Head and neck cancer (HNC) is amongst the 10 most common cancers worldwide and has a major effect on patients' quality of life. Given the complexity of this unique group of patients, a multidisciplinary team approach is preferable. Amongst the debilitating sequels of HNC and/or its treatment, swallowing, speech and voice impairments are prevalent and require the involvement of speech-language pathologists (SLPs).
View Article and Find Full Text PDFNeck extension with closed mouth position provides optimal airway patency after anterior cervical spine surgery at C3-4 and C4-5: a single-center retrospective case series.
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Spine Center and Department of Orthopedic Surgery, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, 13620, Gyeonggi-do, Korea.
Airway compromise due to prevertebral soft tissue swelling is a potentially devastating complication following anterior cervical discectomy and fusion (ACDF). However, there are no studies on the postoperative patient posture for enhancing airway patency after ACDF. This study aimed to analyze the effect of neck and mouth postures on airway patency following ACDF and to suggest the beneficial postoperative patient posture for improving airway patency.
View Article and Find Full Text PDFEEG-based emotion recognition using multi-scale dynamic CNN and gated transformer.
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School of Electronic Information and Electrical Engineering, Yangtze University, Jingzhou, 434100, Hubei, China.
Emotions play a crucial role in human thoughts, cognitive processes, and decision-making. EEG has become a widely utilized tool in emotion recognition due to its high temporal resolution, real-time monitoring capabilities, portability, and cost-effectiveness. In this paper, we propose a novel end-to-end emotion recognition method from EEG signals, called MSDCGTNet, which is based on the Multi-Scale Dynamic 1D CNN and the Gated Transformer.
View Article and Find Full Text PDFFusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features.
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Department of Electronics, Information and Communication Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea.
Autism spectrum disorder (ASD) is a neurologic disorder considered to cause discrepancies in physical activities, social skills, and cognition. There is no specific medicine for treating this disorder; early intervention is critical to improving brain function. Additionally, the lack of a clinical test for detecting ASD makes diagnosis challenging.
View Article and Find Full Text PDFIntraoperative variations in intra-axial brain tumor size after craniotomy: a prospective study with histopathological and tumor tissue composition correlation, introducing concepts of tumor expansion and tumor surfacing.
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Department of Neurosurgery, Neurosurgery Clinic, Birgunj, Nepal.
Intraoperative assessment of tumor margins can be challenging; as neoplastic cells may extend beyond the margins seen on preoperative imaging. Real-time intraoperative ultrasonography (IOUS) has emerged as a valuable tool for delineating tumor boundaries during surgery. However, concerns remain regarding its ability to accurately distinguish between tumor margins, peritumoral edema, and normal brain tissue.
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