Projects per year
Abstract
The FDI World Dental Federation has published a white paper on the use of artificial intelligence (AI) in dentistry. The paper acknowledges AI as a key technology for the future of the dental profession and how it can help achieve FDI's Vision 2030 strategy for optimal oral health for all. The paper has four main objectives: to define AI and the technology behind it for the dental community, to systematically display how AI can benefit oral and dental healthcare systems, education, and research, to identify areas where AI can facilitate FDI's Vision 2030 strategy, and to highlight the potential risks of AI and the need for the community to engage in and enforce standards, regulations, and best practices. The paper describes the use of AI in four main areas of dentistry: individual patient care, community and public health, workforce planning and monitoring, and dental research. It also discusses the need to balance data protection and accessibility and to revise conventional peer review approaches when dealing with AI and complex data analytics research. The paper concludes with the implications for clinical practice and a call to action for the dental community to engage in widespread activities around standardization of AI.
Original language | English |
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Place of Publication | Geneva |
Publisher | FDI World Dental Federation (FDI) |
Number of pages | 20 |
Publication status | Published - Jan 2023 |
Externally published | Yes |
Keywords*
- Artificial intelligence
- Dentistry
- White paper
Field of Science*
- 3.3 Health sciences
- 3.2 Clinical medicine
- 1.2 Computer and information sciences
Publication Type*
- 2.4. Other books (including school textbooks, popular science literature, fiction, dictionaries, encyclopedias, etc.)
Fingerprint
Dive into the research topics of 'Artificial Intelligence for Dentistry: FDI Artificial Intelligence Working Group'. Together they form a unique fingerprint.Projects
- 1 Finished
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Caries-AI: Diagnostic accuracy of artificial intelligence systems for radiographic caries detection and high-quality dataset of annotated radiographs
E. Uribe, S. (Project leader), Apse, I. A. (Assistant (student)), Radziņš, O. (Expert) & Maldupa, I. (Leading expert)
26/07/21 → 25/07/22
Project: RSU grants
Activities
- 1 Invited talk
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How to read, write, and report guidelines for AI-based dental articles
E. Uribe, S. (Invited speaker)
21 Mar 2024Activity: Talk or presentation types › Invited talk