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A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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ProSocial Artificial Intelligence in Oral Health: A Paradigm Shift.

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ProSocial Artificial Intelligence (AI) is revolutionizing oral health by prioritizing prevention and patient empowerment. This technology enhances early disease detection, telemedicine access, and professional education for better global health outcomes.

Keywords:
Artificial intelligenceProSocial AIUnited NationsUniversal health coverage

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Area of Science:

  • Oral health
  • Artificial Intelligence
  • Public Health

Background:

  • Oral health is integral to overall well-being and human development.
  • Current oral healthcare models often focus on treatment rather than prevention.
  • Technological advancements offer opportunities to enhance oral healthcare delivery and accessibility.

Purpose of the Study:

  • To examine the potential of ProSocial Artificial Intelligence (AI) in transforming oral healthcare.
  • To highlight AI applications that promote prevention, patient autonomy, and personalized support.
  • To advocate for ethical AI deployment in oral health.

Main Methods:

  • Review of current AI applications in dentistry.
  • Analysis of ProSocial AI principles: prevention, autonomy, personalized support, shared decision-making.
  • Discussion of ethical considerations for AI implementation.

Main Results:

  • ProSocial AI can revolutionize oral health through predictive analytics for early detection.
  • AI-driven telemedicine can improve access for underserved populations.
  • Continuous professional education powered by AI can enhance practitioner skills.

Conclusions:

  • Ethical AI deployment is crucial for transparency, equity, and sustainability in oral health.
  • Collaboration across disciplines is needed to integrate oral health into global health initiatives.
  • AI enhances diagnostic accuracy, treatment planning, and patient outcomes in dental specialties.