
Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.
AI in Oral Cancer Detection: CNNs show 94% sensitivity & specificity! 📊 High diagnostic potential, but more studies needed. 🦷
Discover the newest research about AI innovations in 🦷 Dentistry.

AI in Oral Cancer Detection: CNNs show 94% sensitivity & specificity! 📊 High diagnostic potential, but more studies needed. 🦷

Machine learning predicts mortality in pediatric aplastic anemia with 83.4% AUC. Key predictors include reticulocyte count and platelet count. 📊👶

Exploring AI’s role in radiology: synergy, risks, and responsible integration. 🤖📊 Key insights from Kocak & Cuocolo’s review.

AI segmentation of 3D dental scans achieves 93.1% accuracy, streamlining orthodontic workflows. 🤖🦷

Large language models show 65% accuracy in periodontology tests, lacking reliability for clinical decision support. 📊🦷

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 📊🦷