Macrì Monica, D'Albis Vincenzo, D'Albis Giuseppe, Forte Marta, Capodiferro Saverio, Favia Gianfranco, Alrashadah Abdulrahman Omar, García Victor Diaz-Flores, Festa Felice
Department of Innovative Technologies in Medicine & Dentistry, University "G. D'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.
Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70121 Bari, Italy.
Bioengineering (Basel). 2024 Jul 31;11(8):778. doi: 10.3390/bioengineering11080778.
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.
人工智能(AI)正在彻底改变牙科,为提高种植学的精度和效率带来了新机遇。这篇文献综述旨在评估当前关于在种植计划评估中使用AI的证据。分析通过PubMed和Scopus搜索引擎进行,使用了包括“人工智能种植学”、“AI种植计划”、“AI牙种植体”和“种植学人工智能”等相关关键词的组合。对选定的文章进行了仔细审查,以确定报告AI在种植计划有效性数据的研究。文献综述的结果表明,人们对AI在种植计划中的应用兴趣日益浓厚,有证据表明与传统方法相比,其精度和可预测性有所提高。纳入研究所得结果的总结代表了种植计划中AI的最新发展,展示了其在自动检测骨骼、上颌窦、神经结构和牙齿方面的应用。然而,也发现了一些缺点,包括需要高质量的训练数据以及协议缺乏标准化。总之,在种植计划中使用AI为改善临床结果和优化患者管理带来了有前景的前景。然而,需要进一步研究以充分了解其潜力并解决与在临床实践中实施相关的挑战。