#MultipleSclerosis: Artificial intelligence-based sentiment and content analysis of Tweets.
AI analyzes 1,168 tweets on Multiple Sclerosis: 44% positive, 22.3% negative. Key themes: announcements, information, experiences. ππ§
May 5, 2026
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Discover the newest research about AI innovations in π£οΈ Speech-Language.
Artificial Intelligence in Speech and Language Therapy: A Qualitative Comparative Analysis of Clinical Applications and Outcomes.
AI vs. Speech-Language Therapists: Insights from a Comparative Study π€π£οΈ
April 25, 2026
Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities.
Multimodal AI enhances Alzheimerβs diagnosis accuracy to 92.5% π, integrating diverse datasets for improved outcomes. π§
April 2, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ππ¦΄
March 21, 2026
KLiP: A neural network-based surveillance tool for early identification of listening difficulties in children aged 3-6Β years.
Neural network tool KLiP identifies listening issues in kids 3-6, achieving 90% sensitivity & 97% specificity! π§πΆ
February 1, 2026
Enhancing Developmental Language Disorder Identification with Artificial Intelligence: Development of an Explainable Screening App Using Real and Synthetic Data.
AI-driven app enhances DLD identification, showing high concordance with clinical diagnoses. Key linguistic markers analyzed. ππ€
January 17, 2026
Non-healthcare and healthcare professionals’ attitudes towards behaviors of anorexia: A qualitative analysis of Chinese social media content.
Exploring attitudes on anorexia in China: 1,099 comments analyzed reveal healthcare gaps. ππ§
January 5, 2026
Health Tech Suppliers Share Insights for 2026
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. π₯π»
January 2, 2026
The Application of Artificial Intelligence in Speech and Language Therapy: Attitudes and Expectations.
AI in Speech Therapy: 65% of therapists optimistic about its future use, yet 41% worry about losing the ‘human-factor.’ π€π¬
December 12, 2025
Content validity of AI-generated stuttering assessment and intervention programs based on expert review: A comparative analysis across age groups and language versions.
AI-generated stuttering programs show high content validity (M = 4.6-4.9) but require human validation for cultural nuances. π€π£οΈ
December 10, 2025