Ethical dimensions of artificial intelligence integration into dental practice

Area of Science:

• Dental Informatics
• Bioethics
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is increasingly utilized in dentistry for improved diagnosis and treatment planning.
• The integration of AI in dental practice introduces significant ethical considerations, including patient data privacy, informed consent, algorithmic bias, and professional accountability.

Purpose of the Study:

• To synthesize existing literature on the ethical, legal, and regulatory aspects of AI implementation in dentistry.
• To identify key ethical domains and concerns related to AI use in dental care.

Main Methods:

• A comprehensive review of peer-reviewed literature was conducted using dental and medical databases.
• Data extraction focused on studies addressing ethical principles, legal implications, and regulatory perspectives on AI in dentistry.

Main Results:

• Four core ethical domains—autonomy, beneficence, nonmaleficence, and justice—are central to AI in dentistry.
• Identified concerns include algorithmic bias, equitable access to AI technology, and data confidentiality.
• The literature underscores the need for regulatory frameworks and ethical guidelines for AI in dental settings.

Conclusions:

• Responsible AI integration necessitates transparency, active patient engagement, and enhanced ethical literacy among dental professionals.
• Developing robust governance standards and fostering interdisciplinary dialogue are crucial for maintaining trust and fairness in AI-assisted oral healthcare.