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.

ABSTRACT:

Background

To reduce the mortality related to bladder cancer, efforts need to be concentrated on early detection of the disease for more effective therapeutic intervention. Strong risk factors (eg, smoking status, age, professional exposure) have been identified, and some diagnostic tools (eg, by way of cystoscopy) have been proposed. However, to date, no fully satisfactory (noninvasive, inexpensive, high-performance) solution for widespread deployment has been proposed. Some new models based on cytology image classification were recently developed and bring good perspectives, but there are still avenues to explore to improve their performance.

Objective

Our team aimed to evaluate the benefit of combining the reuse of massive clinical data to build a risk factor model and a

SUBMITTER: Cabon S 

PROVIDER: S-EPMC11799811 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature