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Related Concept Videos

Teeth01:15

Teeth

343
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...
343
Tooth Anatomy01:21

Tooth Anatomy

386
The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
386

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Artificial Intelligence in Periodontics: A Comprehensive Review.

Anuj Singh Parihar1, Sumit Narang1, Sanjeev Tyagi2

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Artificial intelligence (AI) offers promising advancements for diagnosing and managing periodontal diseases. AI applications enhance accuracy and efficiency in dental care, improving patient outcomes.

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Area of Science:

  • Dentistry
  • Periodontology
  • Artificial Intelligence

Background:

  • Periodontal diseases are a global health concern.
  • Artificial intelligence (AI) is emerging as a transformative technology in healthcare.
  • There is a growing need for advanced tools in periodontics.

Purpose of the Study:

  • To review the current applications of AI in periodontics.
  • To explore the benefits and challenges of AI in managing periodontal conditions.
  • To outline future directions for AI in periodontal practice.

Main Methods:

  • A comprehensive literature review was conducted.
  • Fifteen relevant studies on AI in periodontics were analyzed.
  • The analysis focused on AI's role in detection, risk assessment, and treatment planning.

Main Results:

  • AI demonstrates significant potential in improving periodontal disease detection.
  • AI tools can enhance risk assessment accuracy and efficiency.
  • AI facilitates personalized treatment planning and patient management.

Conclusions:

  • AI integration in periodontics promises enhanced diagnostic accuracy and treatment efficacy.
  • AI can lead to more efficient and personalized patient care.
  • Further research and development are needed to fully realize AI's potential in periodontics.