Artificial Intelligence in dentistry: Balancing innovation with ethical responsibility

Area of Science:

• Dentistry
• Artificial Intelligence
• Health Informatics

Background:

• Artificial Intelligence (AI) is increasingly impacting various healthcare fields, including dentistry.
• Key applications include enhancing diagnostic accuracy, personalizing treatment plans, and improving clinical workflow efficiency.
• The integration of AI in dentistry necessitates a thorough understanding of its technical underpinnings and associated challenges.

Purpose of the Study:

• To explore the transformative impact of AI in dentistry.
• To discuss the technical aspects of AI models used in dental applications.
• To examine the ethical, legal, and security considerations for AI adoption in dental practice.

Main Methods:

• Review of AI models, including convolutional neural networks and artificial neural networks.
• Analysis of ethical principles relevant to AI integration in healthcare.
• Examination of regulatory frameworks in the United States and Canada.
• Discussion of Good Machine Learning Practices.

Main Results:

• AI offers significant potential to improve diagnostic accuracy, personalize treatment planning, and increase clinical efficiency in dentistry.
• Ethical principles, privacy, and security present key challenges for AI implementation.
• Existing regulatory frameworks in the US and Canada show gaps and opportunities for AI adoption.
• Good Machine Learning Practices are crucial for mitigating risks associated with AI in dentistry.

Conclusions:

• Responsible AI integration in dental practice hinges on addressing ethical and legal considerations.
• Further research is needed to mitigate risks and ensure safe and effective AI adoption.
• A balanced approach considering technological advancements and patient welfare is essential for the future of AI in dentistry.