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AI in dentistry

‘New' AI in prosthodontics - what has changed two years on?

Key points

  • AI can be deployed (and even commercialised) in prosthodontics for treating patients.

  • AI plus other domains (eg materials and devices) fosters the research, development and innovation of automated dentistry.

  • Ethical, regulatory and big clinical validation are still the challenges in AI for dentistry.

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References

  1. Iosif L, Tancu A M C, Amza O E, Gheorghe G F, Dimitriu B, Imre M. AI in prosthodontics: a narrative review bridging established knowledge and innovation gaps across regions and emerging frontiers. Prosthesis 2024; 6: 1281-1299.

  2. Ding H, Cui Z M, Maghami E et al. Morphology and mechanical performance of dental crown designed by 3D-DCGAN. Dent Mater 2023; 39: 320-332.

  3. Hosseinimanesh G, Alsheghri A, Keren J, Cheriet F, Guibault F. Personalized dental crown design: a point-to-mesh completion network. Med Image Anal 2025; 101: 103439.

  4. Wang Y Q, Shi Y Z, Li N, Lin W-S, Tan J G, Chen L. Feasibility and accuracy of single maxillary molar designed by an implicit neural network (INN)-based model: a comparative study. J Prosthodont 2025; DOI: 10.1111/jopr.14035.

  5. Saleh O, Spies B C, Brandenburg L S et al. Feasibility of using two generative AI models for teeth reconstruction. J Dent 2024; 151: 105410.

  6. Broll A, Rosentritt M, Schlegl T, Goldhacker M. A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. Front Artif Intell 2024; 7: 1339193.

  7. Bai X, Chen Y, Ding H et al. Twelve-month clinical performance of genai-designed single crowns: a preliminary study. J Dent Res 2025; 104: 4284947.

  8. Wu Z Q, Zhang C Q, Ye X J et al. Comparison of the efficacy of artificial intelligence-powered software in crown design: an in vitro study. Int Dent J 2025; 75: 127-134.

  9. Revilla-León M, Gómez-Polo M, Vyas S et al. Artificial intelligence applications in implant dentistry: a systematic review. J Prosthet Dent 2023; 129: 293-300.

  10. Sakai T, Li H F, Shimada T et al. Development of artificial intelligence model for supporting implant drilling protocol decision making. J Prosthodont Res 2023; 67: 360-365.

  11. Chan R S M, Wong W W S, Zhou T Y et al. Human-AI collaboration improves adults' oral biomechanical functions: a multi-centre, self-controlled clinical trial. J Dent 2024; 150: 105354.

  12. Paniagua K, Whang K, Joshi K, Son H, Kim Y S, Flores M. Dental composite performance prediction using artificial intelligence. J Dent Res 2025; 104: 513-521.

  13. Wu J, Yuen K H, Lee Y H, Liu Y, Tsoi J K H, Lam W Y H. The use of artificial intelligence in predicting maximal intercuspal position: a feasibility study. J Prosthodont Res 2025; DOI: 10.2186/jpr.JPR_D_24_00112.

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Correspondence to James Kit Hon Tsoi.

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Tsoi, J. ‘New' AI in prosthodontics - what has changed two years on?. Br Dent J 238, 799 (2025). https://doi.org/10.1038/s41415-025-8773-5

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  • DOI: https://doi.org/10.1038/s41415-025-8773-5

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