Discover the newest research about AI innovations in ๐ Audiology.
Parental insights on AI in childhood ear health reveal concerns and potential benefits. Key themes identified in recent study. ๐๐ค
AI tools in audiology & speech therapy: 68% usage among academicians, yet concerns on data authenticity persist. ๐๐ค
AI in Thyroid Ultrasound Training: 70% Accuracy Achieved! ๐ค๐ Automated assessments enhance skill evaluation in medical simulations.
DNN noise reduction boosts speech recognition in bimodal CI users by 19% in noise. ๐๐
AI enhances laryngeal endoscopy image analysis, achieving segmentation quality comparable to human raters. ๐ฆ๐
Machine learning predicts occupational noise-induced hearing loss using blood indicators. AUC 0.942, sensitivity 0.875, specificity 0.936. ๐๐
Deep learning enhances pediatric audiometry accuracy: sensitivity up to 0.943, specificity 0.947. Real-time monitoring improves hearing assessments. ๐๐ถ
New study reveals TUG test with IMU sensors effectively detects vestibular impairments. Sensitivity up to 95%! ๐ง โ๏ธ
New tech aids hearing loss research! ๐ฆป FAVE estimates thresholds from handwritten audiograms, enhancing data accessibility. ๐
Exploring the fusion of machine learning and physics in physiology. ๐ง ๐ฌ Insights from a recent PubMed article.
