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

Clinical Information and Decision Making (1960) Secondary Use of Clinical Data for Research and Surveillance (480) Electronic Health Records (1337) Machine Learning (2134) Innovations and Technology for Cancer Prevention and Screening (204)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56946, first published .
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

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 (2) 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. Medical Status Extraction Pipeline: A Methodological Framework and Institutional Case Study of Extracting Medical Information From Electronic Health Records Using Sentence Classification (Preprint). JMIR Medical Informatics 2025 View