
Multi-Architecture Deep Learning for CBCT Segmentation of Dental Hard Tissues and Pulp in Mixed Dentition.
Deep learning models enhance pediatric dental imaging accuracy: ResEncM achieves DSC 0.9859 for permanent teeth! 🦷📊
Discover the newest research about AI innovations in 🦷 Dentistry.

Deep learning models enhance pediatric dental imaging accuracy: ResEncM achieves DSC 0.9859 for permanent teeth! 🦷📊

Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻

AI is transforming dental hygiene through enhanced diagnostics, education, and public health strategies. Key insights from our review. 🦷🤖

Evaluating RAG-LLMs for infective endocarditis prophylaxis shows accuracy up to 90% with preprompting. 📊🦷

AI Classifies Apical Openness with 88% Accuracy 📊🦷

AI CAD software shows 100% design success for 3-unit FDPs, but human oversight crucial for occlusal accuracy. 🦷🤖

Exploring AI’s role in dentistry: potential impacts on decision-making and patient outcomes. 🤖🦷

AI in Periodontitis Diagnosis: Sensitivity 87.2% 📊, Accuracy 88.9% 🦷—A Meta-Analysis Review of Imaging Modalities.

AI in Dentistry: 52 FDA-Cleared Devices Reviewed 🦷📊 2022 saw 15.38% approvals; 60% lack algorithm transparency.

AI models in dental exams: CoT reasoning outperforms others, achieving 80.54% accuracy vs. human average 79.51%. 📊🦷