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    Artificial Intelligence for Prosthetic and Implant Dentistry

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    Date
    2025-03-27
    Author
    Rokhshad, Rata
    Tamimi, Faleh
    Blinvignac, Pauline
    Richert, Raphael
    Ducret, Maxime
    Metadata
    Show full item record
    Abstract
    Prosthetic and implant dentistry has been at the forefront of adopting digital technologies, integrating cone-beam computed tomography (CBCT) and intraoral scanners for treatment planning, along with computer-aided design and manufacturing (CAD/CAM) for dental prostheses, since their inception. Recently, this field has seen the introduction of artificial intelligence (AI) into a range of solutions and software platforms aimed at digitalizing patients and fabricating dental prostheses. This chapter offers a comprehensive overview of AI solutions in prosthetic and implant dentistry. The body of literature reviewed is primarily composed of pilot studies, case reports, and preclinical research, with a notable scarcity of high-level, empirical studies. Readers are encouraged to critically evaluate these AI solutions, considering them as preliminary steps toward more refined and robust technologies expected to evolve in the near future. The chapter underscores the need for significant advancements to refine and validate these technologies prior to their widespread adoption in daily dental practice.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006955205&origin=inward
    DOI/handle
    http://dx.doi.org/10.1007/978-3-031-84047-0_5
    http://hdl.handle.net/10576/66661
    Collections
    • Dental Medicine Research [‎428‎ items ]

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