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.' 🤖💬
Artificial Intelligence Physician Avatars for Patient Education: A Pilot Study.
AI Avatars Enhance Patient Education: 99% Query Accuracy, 87.7 Usability Score, 100% Trust! 🤖📊
TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding.
"TCPL: A Breakthrough in Few-Shot EEG Decoding for Brain-Computer Interfaces 🧠⚡"
Classification of Apical Openness Using Vision Transformer: A Comparative Approach with Expert Decisions.
AI Classifies Apical Openness with 88% Accuracy 📊🦷
Second harmonic generation for brain imaging: pathology-related studies.
Second harmonic generation (SHG) microscopy enhances brain imaging, revealing critical insights into trauma, tumors, and neurodegenerative diseases. 🧠🔬
Interrupted Time Series Analysis in Environmental Epidemiology: A Review of Traditional and Novel Modeling Approaches.
Exploring Interrupted Time Series Analysis in Environmental Epidemiology: Key Insights from Recent Research 📊🌍
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. 🤖🗣️
Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician’s Guide to the Evolving Landscape.
AI revolutionizes gynecologic cancer care, enhancing accuracy and speed in diagnosis and treatment. Key insights from recent research. 🤖💡
The Landscape of Medical Education Internationalization in Iran Through a Scientometrics Lens.
Exploring Iran's Medical Education Internationalization: 94 studies, 2.32 citations/publication, key themes include AI & faculty mobility. 📈🌍
Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Casual Machine Learning Approach.
Causal ML identifies patients with sepsis and AKI who benefit from restrictive fluid therapy. 🚑📊 Early AKI reversal rates improved significantly!