
Machine learning in dentistry: a scoping review.
Exploring machine learning in dentistry: 280 studies reviewed, key gaps identified in model validation and bias assessment. ๐ฆท๐ค
Discover the newest research about AI innovations in ๐ฆท Dentistry.
Exploring machine learning in dentistry: 280 studies reviewed, key gaps identified in model validation and bias assessment. ๐ฆท๐ค
Exploring hub genes in pulpal inflammation: AI predicts with 76.92% accuracy! ๐ค๐ฆท
ChatGPT shows promise in answering smoking-related oral health queries, but lacks actionable guidance. ๐๐ฆท
AI-driven tooth segmentation on CBCT images shows 0.27 mm accuracy, improving efficiency over manual methods. ๐๐ฆท
Machine learning enhances dental age estimation accuracy, reducing errors by 44% compared to traditional methods. ๐๐ฆท
Automated deep learning evaluates dental radiographs with 81.4% accuracy, enhancing diagnostic efficiency and reducing variability. ๐ฆท๐ค
Patients express cautious optimism about AI in dentistry, valuing its potential but emphasizing the need for human oversight. ๐ค๐ฆท
AI and AR in dental education enhance skills, improve diagnostics, and offer immersive learning experiences. Significant potential ahead! ๐ฆท๐ค
Innovations in orthognathic surgery enhance precision and outcomes. Key advancements include AI, 3D imaging, and virtual planning. ๐ฆทโจ
Exploring AI’s role in pain management reveals significant opportunities and challenges. Review of PubMed article highlights future directions. ๐ค๐