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ChatGPT: Chances and Challenges for Dentistry.

Florin Eggmann1, Markus B Blatz2

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Artificial intelligence (AI) chatbots like ChatGPT offer potential benefits for dentistry, such as streamlining administrative tasks. However, concerns regarding data privacy, reliability, and unbiased information must be addressed for safe integration.

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Area of Science:

  • Dentistry
  • Artificial Intelligence
  • Health Informatics

Background:

  • The emergence of advanced AI chatbots, such as ChatGPT, presents new opportunities and challenges in healthcare.
  • Large Language Models (LLMs) are trained on extensive text data, enabling conversational interactions and text-based task completion.

Purpose of the Study:

  • To evaluate the potential impact and implications of AI chatbots like ChatGPT in the field of dentistry.
  • To identify the benefits and drawbacks of integrating LLMs into dental practice and clinical decision-making.

Main Methods:

  • Analysis of the capabilities of ChatGPT and similar LLMs in processing and generating text.
  • Assessment of the potential applications of LLMs within dental administrative workflows and clinical support.

Main Results:

  • LLMs are unlikely to drastically alter daily routines for most dental professionals but may enhance administrative efficiency.
  • Potential exists for LLMs to serve as supplementary tools for clinical decision support, contingent on data quality and availability.
  • Significant concerns related to data privacy, cybersecurity, and the reliability of LLM-generated information, especially for health-related queries, were identified.

Conclusions:

  • The integration of AI chatbots in dentistry holds promise for workflow optimization but requires careful consideration of data integrity and security.
  • Addressing privacy risks and ensuring the reliability and transparency of LLMs are critical for their responsible adoption in healthcare settings.
  • Further development and validation are necessary to overcome the current limitations of LLMs compared to traditional search engines for clinical applications.