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April 25, 2026Journal of Prosthodontics0 citationsOpen Access

Evaluation of artificial intelligence–based software programs applied to the radiographic and photographic identification of dental implant systems

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SKSohil A KazimCGCharles J. Goodacre

Key Points

  • The aim is to evaluate the effectiveness of AI software programs in identifying dental implant systems.
  • Evaluation of multiple AI software programs in both demonstration and real clinical scenarios.
  • Comparison of identification accuracy among tools, including ChatGPT-5 and Microsoft Copilot.
  • Overall, AI software programs did not consistently identify dental implant systems.
  • ChatGPT-5 displayed partial diagnostic capability with demonstration implants.
  • Microsoft Copilot correctly identified one real clinical case, but overall reliability was low.

Abstract

None of the evaluated artificial intelligence (AI) software programs consistently identified dental implant systems across both demonstration and real clinical cases. Although ChatGPT-5 showed partial diagnostic capability in demonstration implants and Microsoft Copilot correctly identified one real clinical case, overall system-level identification remained unreliable.

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Cite This Study

Kazim et al. (2026) studied this question.

synapsesocial.com/papers/69ec5a8888ba6daa22dac139https://doi.org/10.1111/jopr.70155
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