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Reproducibility of open-source software for dental artificial intelligence

Author

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  • Escalante Freitez, Flor M
  • drflorescalante@gmail.com
  • Vega Bonilla, Roberto Antonio
  • Moreno Benítez, Diana Belkis

Abstract

Introduction: Open-source software underpins the reproducibility of dental artificial intelligence, yet the state of its licensing and documentation is unclear. Methods: We retrieved public GitHub repositories through the GitHub search API using dental artificial intelligence queries, extracted repository metadata, and inspected the root file listing of the most popular repositories. Results: Of 78 repositories, 23 (29.5%) carried a license and 74 (94.9%) a description; among the 30 most popular, 30 (100%) had a README and 8 (26.7%) a dependency specification; the median star count was 6 and none were archived. Conclusions: Most open-source dental artificial intelligence software lacks a license and a dependency specification, which limits reuse and reproduction despite near-universal README documentation.

Suggested Citation

  • Escalante Freitez, Flor M & drflorescalante@gmail.com & Vega Bonilla, Roberto Antonio & Moreno Benítez, Diana Belkis, 2026. "Reproducibility of open-source software for dental artificial intelligence," SAP Artificial Intelligence in Dentistry, South American Publishing.
    • Handle: RePEc:cwf:aidart:aid2026144
    DOI: 10.62486/aid2026144
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