Machine learning in dentistry: a scoping review.

Artificial intelligence (AI), specifically machine learning (ML), is increasingly applied in decision-making for dental diagnosis, prognosis, and treatment. However, the methodological completeness of published models has not been rigorously assessed. We performed a scoping review of PubMed-indexed articles (English, 1 January 2018â€'31 December 2023) that used ML in any dental specialty.

Beyond 3D Printing: How AI is Shaping the Future of Craniomaxillofacial Bone Tissue Engineering.

This perspective focuses on the potential of artificial intelligence (AI) in craniomaxillofacial (CMF) bone tissue engineering, mitigating current challenges, and driving the development of tailored biomaterials and clinical translation. CMF bone tissue engineering faces significant challenges due to the complexity of bone defects, the limitations of traditional grafting methods, and the need for precise anatomical reconstruction. AI is revolutionizing CMF bone tissue engineering by leveraging vast computational power to analyze complex biological data, optimize treatment strategies, and enhance the development of next-generation regenerative solutions.

Milestones in Mandibular Bone Tissue Engineering: A Systematic Review of Large Animal Models and Critical-Sized Defects.

Mandibular reconstruction following trauma or oncologic resection is crucial for restoring function and aesthetics. While autologous bone grafting remains the gold standard, it presents challenges such as donor site morbidity and graft availability. Bone tissue engineering (BTE) offers an innovative alternative, integrating scaffolds, osteogenic cells, and bioactive factors to regenerate functional bone.