Predicting semantic segmentation quality in laryngeal endoscopy images.
AI enhances laryngeal endoscopy image analysis, achieving segmentation quality comparable to human raters. π¦π
July 13, 2025
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Discover the newest research about AI innovations in π Audiology.
Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study.
Machine learning predicts occupational noise-induced hearing loss using blood indicators. AUC 0.942, sensitivity 0.875, specificity 0.936. ππ
June 12, 2025
Behavior recognition technology based on deep learning used in pediatric behavioral audiometry.
Deep learning enhances pediatric audiometry accuracy: sensitivity up to 0.943, specificity 0.947. Real-time monitoring improves hearing assessments. ππΆ
May 29, 2025
A method for detection of functional deficiencies due to unilateral vestibular impairment using the TUG test and IMU sensors.
New study reveals TUG test with IMU sensors effectively detects vestibular impairments. Sensitivity up to 95%! π§ βοΈ
May 22, 2025
Feature-Based Audiogram Value Estimator (FAVE): Estimating Numerical Thresholds from Scanned Images of Handwritten Audiograms.
New tech aids hearing loss research! 𦻠FAVE estimates thresholds from handwritten audiograms, enhancing data accessibility. π
March 13, 2025
Editorial: Integrating machine learning with physics-based modeling of physiological systems.
Exploring the fusion of machine learning and physics in physiology. π§ π¬ Insights from a recent PubMed article.
February 21, 2025
Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches.
Exploring AI in language disorder detection π€π: Recent advances enhance assessment efficiency for childrenβs language disorders.
January 16, 2025
Have We Solved Glottis Segmentation? Review and Commentary.
Exploring glottis segmentation’s challenges and advancements in voice physiology research. π€π Key insights from a recent PubMed article. π
January 4, 2025
Using Artificial Intelligence for Assessment of Velopharyngeal Competence in Children Born With Cleft Palate With or Without Cleft Lip.
AI tool assesses velopharyngeal competence in children with cleft palate. Results show limited accuracy for clinical use. π€πΆ
September 30, 2024