Results 71 to 80 of about 11,341 (236)
Psychosocial and quality of life outcomes of prosthetic auricular rehabilitation with CAD/CAM technology. [PDF]
published_or_final_versio
Cheung, LK +5 more
core +1 more source
A smart headband for multimodal physiological monitoring in human exercises
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu +7 more
wiley +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
The study of expanded tri-lobed flap in a rabbit model: possible flap model in ear reconstruction? [PDF]
Background Local flaps are widely used in reconstructive surgery. Tri-lobed skin flap is a relatively new flap and there has been no experimental model of this flap.
T Harashina +26 more
core +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
ABSTRACT Background Nasal airway obstruction (NAO) is prevalent with substantial health and quality of life burdens. Nasal valve collapse (NVC) is one structural cause of NAO. Temperature‐controlled radiofrequency (TCRF) nasal valve remodeling offers an alternative to invasive surgery.
David W. Kennedy +7 more
wiley +1 more source
Objective Antiseizure medication (ASM) use during pregnancy has increased over the past decade. However, evidence linking prenatal ASM exposure to neurodevelopmental disorders (NDDs) in offspring remains inconsistent. This study evaluated whether prenatal ASM exposure increases the risk of NDDs in children.
Odile Sheehy +13 more
wiley +1 more source
Barnes Hospital Bulletin [PDF]
https://digitalcommons.wustl.edu/bjc_barnes_bulletin/1246/thumbnail ...
core +1 more source
Statistical shape modeling of the human inner ear through micro‐computed tomography imaging
In this study, 54 cadaveric temporal bone specimens underwent high‐resolution micro‐CT imaging. Images were semi‐automatically segmented and converted to 3D surface mesh models for morphological measurement and analysis. Statistical shape models were created for the inner ear, cochlea, and vestibular system, as well as for sex‐ and side‐based subgroups.
Carmine Spedaliere +8 more
wiley +1 more source

