Evaluation of the efficiency, trueness, and clinical application of novel artificial intelligence design for dental crown prostheses

Liu, Che-Ming; Lin, Wei-Chun; Lee, Sheng-Yang

doi:10.1016/j.dental.2023.10.013

Cited by 5 publications

(1 citation statement)

References 35 publications

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“…This could potentially reduce the need for additional design optimization by dental technicians ( Cho et al, 2024 ). Liu, Lin & Lee (2024) showed better fit and smaller marginal gaps with digitally designed and AI-designed crowns. Technicians’ designs were used by Tian et al (2021 , 2022) to train 2-stage generative adversarial network (GAN) models in generating crowns.…”

Section: Survey Methodologymentioning

confidence: 94%

Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review

Yeslam,

Freifrau von Maltzahn,

Nassar

2024

PeerJ

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Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided design/computer-aided manufacturing (CAD/CAM) within the restorative dental and material science fields offers numerous benefits, providing a new dimension to these practices. This study aims to provide a concise overview of the implementation of AI-powered technologies in CAD/CAM restorative dental procedures and materials. A comprehensive literature search was conducted using keywords from 2000 to 2023 to obtain pertinent information. This method was implemented to guarantee a thorough investigation of the subject matter. Keywords included; “Artificial Intelligence”, “Machine Learning”, “Neural Networks”, “Virtual Reality”, “Digital Dentistry”, “CAD/CAM”, and “Restorative Dentistry”. Artificial intelligence in digital restorative dentistry has proven to be highly beneficial in various dental CAD/CAM applications. It helps in automating and incorporating esthetic factors, occlusal schemes, and previous practitioners’ CAD choices in fabricating dental restorations. AI can also predict the debonding risk of CAD/CAM restorations and the compositional effects on the mechanical properties of its materials. Continuous enhancements are being made to overcome its limitations and open new possibilities for future developments in this field.

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Section: Survey Methodologymentioning

confidence: 94%

Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review

Yeslam,

Freifrau von Maltzahn,

Nassar

2024

PeerJ

View full text Add to dashboard Cite

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Comparison of the Efficacy of Artificial Intelligence-Powered Software in Crown Design: An In Vitro Study

Wu,

Zhang,

et al. 2024

International Dental Journal

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Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks

Ourang,

Sohrabniya,

Mohammad‐Rahimi

et al. 2024

Int Endodontic J

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The integration of artificial intelligence (AI) in healthcare has seen significant advancements, particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry, stands to benefit immensely from AI applications, especially in interpreting radiographic images. However, there is a knowledge gap among endodontists regarding the fundamentals of machine learning and deep learning, hindering the full utilization of AI in this field. This narrative review aims to: (A) elaborate on the basic principles of machine learning and deep learning and present the basics of neural network architectures; (B) explain the workflow for developing AI solutions, from data collection through clinical integration; (C) discuss specific AI tasks and applications relevant to endodontic diagnosis and treatment. The article shows that AI offers diverse practical applications in endodontics. Computer vision methods help analyse images while natural language processing extracts insights from text. With robust validation, these techniques can enhance diagnosis, treatment planning, education, and patient care. In conclusion, AI holds significant potential to benefit endodontic research, practice, and education. Successful integration requires an evolving partnership between clinicians, computer scientists, and industry.

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Evaluation of the efficiency, trueness, and clinical application of novel artificial intelligence design for dental crown prostheses

Cited by 5 publications

References 35 publications

Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review

Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review

Comparison of the Efficacy of Artificial Intelligence-Powered Software in Crown Design: An In Vitro Study

Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks

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