Prospective validation of an artificial intelligence assessment in a cohort of applicants seeking financial compensation for asbestosis (PROSBEST)
We prospectively assessed the sensitivity of an AI-driven assessment procedure for financial compensation of asbestosis. The AI-driven asbestosis probability score underperformed across all metrics compared to internal testing. The AI-driven assessment procedure achieved a sensitivity of 0.86 (95% confidence interval: 0.77-0.95). It did not meet the predefined sensitivity target.
Authors
- Cornedine Jannette de Gooijer (ORCID: https://orcid.org/0000-0002-4447-0149)
- Martijn M. Stuiver (ORCID: https://orcid.org/0000-0002-7794-7767)
- Illaa Smesseim (ORCID: https://orcid.org/0009-0003-0683-3804)
- Kevin B. W. Groot Lipman (ORCID: https://orcid.org/0000-0003-3651-2529)
- Renaud Tissier
- Stefano Trebeschi (ORCID: https://orcid.org/0000-0002-5714-289X)
- Jacobus A. Burgers
Institutions
- The Netherlands Cancer Institute (NL)
- Maastricht University (NL)
- Amsterdam Neuroscience (NL)
- Oncode Institute (NL)
- Amsterdam University of Applied Sciences (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- European Radiology Experimental
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1186/s41747-025-00619-5
- Citations
- 3
- Primary Topic
- Occupational and environmental lung diseases
- Type
- article
- Field-Weighted Citation Impact
- 4.56