Discover the newest research about AI innovations in 🗣️ Speech-Language.
AI-driven app enhances DLD identification, showing high concordance with clinical diagnoses. Key linguistic markers analyzed. 📊🤖
Exploring attitudes on anorexia in China: 1,099 comments analyzed reveal healthcare gaps. 📊🧠
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
AI in Speech Therapy: 65% of therapists optimistic about its future use, yet 41% worry about losing the ‘human-factor.’ 🤖💬
AI-generated stuttering programs show high content validity (M = 4.6-4.9) but require human validation for cultural nuances. 🤖🗣️
AI in Speech-Language Pathology: Enhancing Diagnosis & Treatment, Yet Facing Ethical Challenges 🤖📊
AI tools in audiology & speech therapy: 68% usage among academicians, yet concerns on data authenticity persist. 📊🤖
Revolutionary swallowing analysis framework achieves 92% accuracy using HRCA signals! 🤖💧 Key for speech-language pathologists!
ChatGPT’s responses on stuttering: 83.6% accuracy, 45.5% human-like perception. Readability scores indicate college-level comprehension. 📊🤖
Digital health in speech-language pathology enhances access, efficiency, and outcomes in South Africa. Key challenges include infrastructure and training. 📈💻
