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Wiadomosci lekarskie (Warsaw, Poland : 1960) · 2025

Digital dentistry in action: Analysis of clinical outcomes of computer-aided design and manufacturing, threedimensional printing, and artificial intelligence in tooth defect rehabilitation.

СтатьяСистематический обзорНазвание и аннотация: Перевод пока не подготовлен
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Yakubova Inessa I, Krupnyk Nataliya M, Krupnyk Anna-Sofiya A, Ostrianko Volodymyr I

Аннотация

OBJECTIVE: Aim: To systematically evaluate the clinical outcomes of digital dentistry technologies - computer-aided design and manufacturing (CAD/CAM), three-dimensional (3D) printing, and artificial intelligence (AI) - in the rehabilitation of tooth defects, compared to conventional techniques.

PATIENTS AND METHODS: Materials and Methods: A systematic search of PubMed, Scopus, Web of Science, and the Cochrane Library (up to mid-2025) identified clinical studies on CAD/CAM, 3D-printed dental prostheses, and AI in tooth restoration. Studies reporting survival, complications, patient outcomes, and diagnostic accuracy were included. Thirty-two studies (≈1580 patients) met inclusion criteria; 25 were included in quantitative synthesis. The five-year survival of CAD/CAM restorations was ~90%, comparable to conventional crowns. Milled and 3D-printed dentures showed similar satisfaction, with milled types offering better fit and fewer adjustments. Digital workflows shortened production time and reduced costs. AI models detected caries with ~85% sensitivity and ~90% specificity, and AI-based implant planning matched expert accuracy while cutting planning time (≈10 min vs 30 min). No safety issues were reported.

CONCLUSION: Conclusions: Digital dentistry (CAD/CAM, 3D printing) achieves high-quality, durable restorations (~90% five-year survival) with greater efficiency and lower cost than conventional methods. AI tools show strong potential for accurate, time-saving diagnostics and treatment planning. Overall, digital methods are safe, effective, and suitable for clinical integration. Further long-term studies, especially on AI-driven workflows and 3D-printed materials, are recommended to confirm sustained outcomes and establish evidence-based standards.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты