Performance of Automatic Speech Analysis in Detecting Depression: Systematic Review and Meta-Analysis.
Automatic Speech Analysis shows 81% accuracy in detecting depression, highlighting its potential as a complementary diagnostic tool. 📊🗣️
Management of patients with comorbid asthma and obesity: A large language model evaluation of clinical documentation.
"Only 12.6% of asthma patients with obesity receive weight management in care. 📉🚑"
Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.
AI in stroke care: Smart tech enhances prevention, detection, and recovery. Key findings from PubMed article reviewed. 🧠📊
Deep Learning for Drug-Target Interaction Prediction: A Comprehensive Review.
Deep learning revolutionizes drug-target interaction prediction, enhancing efficiency in drug discovery. Key metrics and architectures explored. 💊🤖
Use of a Generative Pretrained Transformer to Answer Questions and Facilitate a Large Randomized Controlled Trial.
AI in Clinical Trials: 75% Question Response Rate! 🤖📊 89% Satisfaction Among Coordinators! Insights from Sleep SMART Study.
Collaborative penetration testing suite for emerging generative AI algorithms.
New AI security suite tackles quantum threats! 🛡️ Over 300 vulnerabilities fixed, 70% high-severity issues reduced in 2 weeks! 🔒
AI Analysis of Body Composition Predicts Cardiometabolic Risks
AI tools can now assess body composition in minutes, predicting cardiometabolic risks more accurately than traditional methods. 🩺📊
Acoustic signatures of organic lesions and the role of artificial intelligence in voice disorder diagnostics.
Acoustic biomarkers and AI enhance voice disorder diagnostics, achieving AUCs of 0.735 and 0.924 for lesions and malignancy. 📊🔍
DCFFNet: A New Dual-channel Cross-Feature Fusion Net for Evaluating the Degree of Aortic Valve Calcification Based on Echocardiographic Images.
Revolutionary AI model achieves 96.79% accuracy in aortic valve calcification assessment using echocardiographic images! 🫀📊
Use of artificial intelligence tools by audiologists and speech-language therapists: an international survey of academicians.
AI tools in audiology & speech therapy: 68% usage among academicians, yet concerns on data authenticity persist. 📊🤖