Australian Dentists' Knowledge of the Consequences of Interpretive Errors in Dental Radiographs and Potential Mitigation Measures
The survey provides valuable practical insights into the consequences and targeted measures to minimize the occurrence of interpretive errors. Efforts to minimize interpretive errors should address patient safety and practitioners' concerns about professional reputation and business viability. The study also suggests further research into the role of machine learning algorithms in reducing interpretive errors in dentistry.
Authors
- Stephen Clive Cox (ORCID: https://orcid.org/0000-0003-4999-0044)
- Rajesh Vasa (ORCID: https://orcid.org/0000-0003-4805-1467)
- Shwetha Hegde (ORCID: https://orcid.org/0000-0003-1429-9149)
- Jinlong Gao (ORCID: https://orcid.org/0000-0002-5153-5393)
- Shanika Nanayakkara (ORCID: https://orcid.org/0000-0002-5479-9650)
Institutions
- The University of Sydney (AU)
- Deakin University (AU)
- Sydney Dental Hospital (AU)
Publication Details
- Journal
- Clinical and Experimental Dental Research
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1002/cre2.70027
- Citations
- 3
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Australian Dental Research Foundation