Determining Thresholds for Computer‐Aided Detection for Silicosis—An Analytic Approach
In applying CAD to silicosis, users need to establish the use case, their preference for the sensitivity/specificity trade-off, and the silicosis definition, as well as considering the effect of disease prevalence. System developers need to take inter-reader variation in validation exercises into account and present this information transparently. A two-threshold model has potential utility in situations of high screening volume where there is a significant cost associated with referral for confirmation of diagnosis.
Authors
- Barry Kistnasamy
- Stephen Barker (ORCID: https://orcid.org/0000-0001-9958-9772)
- Rodney Ehrlich (ORCID: https://orcid.org/0000-0001-5736-9237)
- Annalee Yassi (ORCID: https://orcid.org/0000-0001-9103-4051)
- Jerry Spiegel (ORCID: https://orcid.org/0000-0002-4699-3082)
Institutions
- University of British Columbia (CA)
- University of Cape Town (ZA)
Publication Details
- Journal
- American Journal of Industrial Medicine
- Published
- 2025-04-06
- DOI
- https://doi.org/10.1002/ajim.23720
- Citations
- 2
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 2.72