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Teeth01:15

Teeth

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The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
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Updated: Jun 17, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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Exploring Faculty Preparedness for Artificial Intelligence-Driven Dental Education: A Multicentre Study.

Saad M Al-Zubaidi1, Gul Muhammad Shaikh2, Asma Malik3

  • 1Department of Restorative Dental Sciences, College of Dentistry, University of Hail, Hail, SAU.

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|August 12, 2024
PubMed
Summary
This summary is machine-generated.

Faculty members in dental education show readiness for artificial intelligence (AI) integration, despite low AI literacy and concerns about its impact. Recommendations include training and institutional support for effective AI adoption in dental schools.

Keywords:
artificial intelligencecurriculumdentaldental educationfacultyqualitative research

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Area of Science:

  • Dental Education
  • Artificial Intelligence
  • Educational Technology

Background:

  • Artificial intelligence (AI) is transforming global healthcare and education.
  • Integrating AI in dental education can enhance diagnostic accuracy and learning experiences.
  • Faculty willingness is crucial for successful AI implementation in academic settings.

Purpose of the Study:

  • To explore the readiness of dental faculty members for integrating artificial intelligence into dental education.
  • To understand faculty perceptions, experiences, and challenges regarding AI in dental teaching and learning.

Main Methods:

  • A qualitative exploratory design was utilized.
  • Semi-structured interviews were conducted with 21 faculty members from dental colleges in South Punjab.
  • Thematic analysis, using Braun and Clarke's framework, was applied to interview data.

Main Results:

  • Faculty exhibited low AI literacy but diverse perceptions, viewing AI as both a revolutionary tool and a potential threat (e.g., academic misconduct, job displacement).
  • AI was recognized for its benefits in remote/marginalized education access.
  • Key challenges included lack of training, limited facilities, data privacy concerns, and assessment bias.

Conclusions:

  • Dental faculty are generally ready for AI integration, viewing it positively for digitization and innovation.
  • Awareness of AI applications, adequate training, resources, and institutional support are essential for successful adoption.
  • AI offers benefits like quick responses and performance prediction but requires culturally relevant tools and robust technical support, especially in developing regions.