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Dentistry as a Test Case for Responsible Artificial Intelligence in Healthcare: Why External Validation Matters More Than Marketing

Year: 2025

Type: article

Abstract: Artificial intelligence (AI) is moving rapidly from research into clinical practice. In 2024, commercial dental AI systems that claim to detect caries and periodontal disease on radiographs are being marketed directly to clinicians and insurers. Accuracy figures are prominently displayed, yet most derive from developer-generated datasets with limited independent scrutiny. This reflects a broader challenge in digital health: marketing often advances faster than evidence. If AI struggles to demonstrate reliability in a structured field like dentistry, the risks for other disciplines are even greater.

Source: Mayo Clinic Proceedings Digital Health

DOI: 10.1016/j.mcpdig.2025.100298

Author: Owais A. Farooqi

Institutions: VA Desert Pacific Healthcare Network, VA Greater Los Angeles Healthcare System

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,500