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Blockchain for Trustworthy Artificial Intelligence in Dentistry.
D Cerda Mardini1, M Sharma1, S Madathil1
1Faculty of Dental Medicine and Oral Health Science, McGill University, Montreal, QC, Canada.
JDR Clinical and Translational Research
|December 21, 2024
Summary
This commentary explores the trustworthiness of artificial intelligence (AI) solutions for dental applications. It provides an initial inquiry into evaluating AI reliability for dental professionals.
Area of Science:
- Dentistry
- Artificial Intelligence
- Health Informatics
Background:
- The integration of artificial intelligence (AI) in dentistry is rapidly expanding.
- Assessing the reliability and trustworthiness of AI tools is crucial for clinical adoption.
Purpose of the Study:
- To introduce a framework for evaluating the trustworthiness of AI solutions in dental practice.
- To stimulate critical inquiry among dental professionals regarding AI tool selection.
Main Methods:
- This is a commentary, not an empirical study.
- The discussion focuses on conceptual considerations for AI trustworthiness assessment.
Main Results:
- No empirical results are presented as this is a commentary.
- Key considerations for AI trustworthiness in dentistry are highlighted.
Conclusions:
- Dental professionals must critically evaluate AI solutions before implementation.
- Further research and discussion are needed to establish robust AI trustworthiness standards in dentistry.
