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Area of Science:

  • Dentistry
  • Artificial Intelligence
  • Medical Technology

Background:

  • Generative artificial intelligence (GenAI) adoption is increasing in clinical and educational dental settings.
  • A comprehensive review is necessary to assess GenAI's current impact and future potential in dentistry.
  • GenAI technologies are rapidly evolving and poised to revolutionize dental medicine.

Purpose of the Study:

  • To conduct a narrative review of GenAI applications, challenges, and prospects in dentistry.
  • To analyze studies published between 2020 and 2025 focusing on GenAI in various dental fields.
  • To evaluate the progress and future directions of GenAI in dental practice and education.

Main Methods:

  • Systematic literature search and analysis of 74 studies from 2020-2025.
  • Focus on applications across different branches of dental medicine.
  • Categorization of GenAI technologies including generative adversarial networks, diffusion models, and large language models.

Main Results:

  • GenAI demonstrates significant promise in areas such as dental crown design, orthodontic tooth alignment, radiographic image analysis, and the creation of educational materials.
  • Identified limitations include a lack of extensive clinical validation, the use of non-standardized datasets, and fragmented clinical workflows.
  • Ethical considerations, including patient data privacy and algorithmic transparency, pose significant challenges to GenAI implementation.

Conclusions:

  • Generative artificial intelligence is a transformative technology with the potential to significantly improve dental diagnosis, treatment planning, and educational methodologies.
  • Addressing current limitations through continued research and the development of standardized protocols is essential for the safe and effective integration of GenAI into dentistry.
  • Future directions emphasize the need for robust validation and ethical frameworks to harness GenAI's full potential in transforming dental care.