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This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (3889) Electronic Health Records (1790) Innovations and Technology for Cancer Prevention and Screening (274) Secondary Use of Clinical Data for Research and Surveillance (659) Machine Learning (3333)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56946, first published .
Doctor reviewing patient chart with elderly man in wheelchair.

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

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

Authors of this article:

Sandie Cabon1 Author Orcid Image ;   Sarra Brihi2 Author Orcid Image ;   Riadh Fezzani2 Author Orcid Image ;   Morgane Pierre-Jean1 Author Orcid Image ;   Marc Cuggia1 Author Orcid Image ;   Guillaume Bouzillé1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Wang M, Chang W, Zhang Y. Artificial Intelligence for the Diagnosis and Management of Cancers: Potentials and Challenges. MedComm 2025;6(11) View
  2. Dong C, Delange B, Poiron A, El Azzouzi M, François C, Bouzillé G, Cuggia M, Cabon S. A Sentence Classification–Based Medical Status Extraction Pipeline for Electronic Health Records: Institutional Case Study. JMIR Medical Informatics 2026;14:e77409 View
  3. Diamantidis D, Tsakaldimis G, Smyrlis N, Chousein C, Kafalis C, Foutzitzi K, Deligeorgiou E, Panagiotopoulos N, Lailisidis S, Georgellis C, Giannopoulos S, Giannakopoulos S, Kalaitzis C. Explainable artificial intelligence in prostate and bladder cancer: A review of imaging, digital pathology, molecular profiling, and clinical data. Current Urology 2026 View