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The Role and Applications of Artificial Intelligence in Dental Implant Planning: A Systematic Review.
Macrì, Monica; D'Albis, Vincenzo; D'Albis, Giuseppe; Forte, Marta; Capodiferro, Saverio; Favia, Gianfranco; Alrashadah, Abdulrahman Omar; García, Victor Diaz-Flores; Festa, Felice.
Afiliação
  • Macrì M; Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.
  • D'Albis V; Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.
  • D'Albis G; Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70121 Bari, Italy.
  • Forte M; Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70121 Bari, Italy.
  • Capodiferro S; Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70121 Bari, Italy.
  • Favia G; Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70121 Bari, Italy.
  • Alrashadah AO; Department of Dentistry, King Faisal University, P.O. Box 380, Al Hofuf 31982, Saudi Arabia.
  • García VD; Department of Pre-Clinical Dentistry, School of Biomedical Sciences, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain.
  • Festa F; Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.
Bioengineering (Basel) ; 11(8)2024 Jul 31.
Article em En | MEDLINE | ID: mdl-39199736
ABSTRACT
Artificial intelligence (AI) is revolutionizing dentistry, offering new opportunities to improve the precision and efficiency of implantology. This literature review aims to evaluate the current evidence on the use of AI in implant planning assessment. The analysis was conducted through PubMed and Scopus search engines, using a combination of relevant keywords, including "artificial intelligence implantology", "AI implant planning", "AI dental implant", and "implantology artificial intelligence". Selected articles were carefully reviewed to identify studies reporting data on the effectiveness of AI in implant planning. The results of the literature review indicate a growing interest in the application of AI in implant planning, with evidence suggesting an improvement in precision and predictability compared to traditional methods. The summary of the obtained findings by the included studies represents the latest AI developments in implant planning, demonstrating its application for the automated detection of bones, the maxillary sinus, neuronal structure, and teeth. However, some disadvantages were also identified, including the need for high-quality training data and the lack of standardization in protocols. In conclusion, the use of AI in implant planning presents promising prospects for improving clinical outcomes and optimizing patient management. However, further research is needed to fully understand its potential and address the challenges associated with its implementation in clinical practice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioengineering (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioengineering (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália