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Artificial intelligence

Artificial intelligence: advances and pitfalls

British Dental Journal volume 234, pages 749–750 (2023)Cite this article

Key points

  • Unclear representativeness of data limits the usefulness of dental AI applications.

  • There is a poor reporting quality for AI research and products.

  • All stakeholders, foremost dentists, should be able to appraise dental AI.

  • The dental community is called to increase the performance, usefulness, fairness and impact of AI applications.

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References

  1. Arsiwala-Scheppach L T, Chaurasia A, Müller A, Krois J, Schwendicke F. Machine Learning in Dentistry: A Scoping Review. J Clin Med 2023; 12: 937.

  2. Hung K F, Yeung A W K, Bornstein M M, Schwendicke F. Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging. Dentomaxillofac Radiol 2023; 52: 20220335.

  3. Mohammad-Rahimi H, Motamedian S R, Rohban M H et al. Deep learning for caries detection: A systematic review. J Dent 2022; 122: 104115.

  4. Mongan J, Moy L, Kahn Jr C E. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers. Radiol Artif Intell 2020; DOI: 10.1148/ryai.2020200029.

  5. Schwendicke F, Singh T, Lee J-H et al. Artificial intelligence in dental research: Checklist for authors, reviewers, readers. J Dent 2021; 107: 103610.

  6. Schwendicke F, Krois J. Data Dentistry: How Data Are Changing Clinical Care and Research. J Dent Res 2022; 101: 21-29.

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Author information

Authors and Affiliations

  1. Professor and Head of Department of Oral Diagnostics, Digital Health and Health Services Research, Charité – Universitätsmedizin Berlin, Germany

    Falk Schwendicke

  2. Charité – Universitätsmedizin Berlin, Berlin, Germany

    Martha Büttner

Authors
  1. Falk Schwendicke
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  2. Martha Büttner
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Corresponding authors

Correspondence to Falk Schwendicke or Martha Büttner.

Ethics declarations

Falk Schwendicke is a co-founder of a Charité startup on dental image analysis. The conduct, analysis and interpretation of this study and its findings was unrelated to this.

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Cite this article

Schwendicke, F., Büttner, M. Artificial intelligence: advances and pitfalls. Br Dent J 234, 749–750 (2023). https://doi.org/10.1038/s41415-023-5855-0

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  • DOI: https://doi.org/10.1038/s41415-023-5855-0

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