Combining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study
These results demonstrate the value of combining clinical and biological information, especially to improve detection of low-grade bladder cancer. Some improvements will need to be made to the automatic extraction of clinical features to make the risk factor-based model more robust. However, as of now, the results support the assumption that this type of approach will be of benefit to patients.
Authors
- Sandie Cabon (ORCID: https://orcid.org/0000-0001-7847-0916)
- Riadh Fezzani
- Guillaume Bouzillé (ORCID: https://orcid.org/0000-0002-3637-6558)
- Marc Cuggia (ORCID: https://orcid.org/0000-0001-6943-3937)
- Morgane Pierre‐Jean (ORCID: https://orcid.org/0000-0002-9133-780X)
- Sarra Brihi
Institutions
- Inserm (FR)
- Applied DNA Sciences (United States) (US)
- Centre Hospitalier Universitaire de Rennes (FR)
- Université de Rennes (FR)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-11-07
- DOI
- https://doi.org/10.2196/56946
- Citations
- 2
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.15