Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Oophorectomy-Corrected Ovarian Cancer Incidence, Survival, and Mortality by Subtype, Race, Ethnicity.

Cancer medicine·2026
Same author

Benefits and Harms of Immediate Versus Delayed Treatment of Cervical Intraepithelial Neoplasia Grade 2 : A Target Trial Emulation.

Annals of internal medicine·2026
Same author

Long-term outdoor air pollution and risk of ovarian and endometrial cancers in a large prospective cohort.

Journal of exposure science & environmental epidemiology·2026
Same author

HPV16 genetic variation provides evidence of positive natural selection driven by HLA class I.

Nature communications·2026
Same author

The contribution of the koniocellular visual pathway to aversive learning in human visual cortex.

Journal of neurophysiology·2026
Same author

Two-phase designs for cost-effective evaluation of cancer screening tests.

Biometrics·2026

Related Experiment Video

Updated: May 22, 2025

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
06:05

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Published on: June 2, 2023

7.1K

Closing the Automation Gap: Robust AI for Dual-Stain Cervical Cancer Screening Triage.

Bernd Lahrmann1,2,3,4, Andreas Keil1,2,3, Felipe Miranda Ruiz1,2,3

  • 1Steinbeis Center for Medical Systems Biology, Heidelberg, Germany.

Research Square
|March 17, 2025
PubMed
Summary

AI-powered dual-stain cytology using Cytoreader-V2 enhances cervical cancer screening. This artificial intelligence tool improves specificity and reproducibility for HPV-positive results, aiding early detection.

More Related Videos

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

330
Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

21.3K

Related Experiment Videos

Last Updated: May 22, 2025

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
06:05

Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment

Published on: June 2, 2023

7.1K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

330
Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

21.3K

Area of Science:

  • Digital Pathology
  • Computational Pathology
  • Oncology

Background:

  • Dual-stain cytology (p16/Ki67) outperforms conventional Pap cytology for HPV-positive cervical cancer screening.
  • Artificial intelligence (AI) can reduce subjectivity and enhance the performance of dual-stain cytology.
  • Cytoreader-V2 is an AI-based system developed for evaluating dual-stain slides.

Purpose of the Study:

  • To develop and validate Cytoreader-V2, an AI tool for dual-stain cytology analysis.
  • To assess the performance of Cytoreader-V2 in diverse cervical and anal screening cohorts.
  • To compare the AI-based evaluation with manual interpretation of dual-stain slides.

Main Methods:

  • Development and validation of Cytoreader-V2 using 5,722 dual-stain slides from population-based screening.
  • Performance evaluation in the SurePath Kaiser Implementation Study and Thin-Prep Biopsy Study.
  • Assessment of robustness through image transformation testing and analysis of anal dual-stain cytology slides.

Main Results:

  • Cytoreader-V2 demonstrated high sensitivity and improved specificity compared to manual dual-stain reading in cervical screening.
  • In the SurePath study, Cytoreader-V2 achieved 87.2% sensitivity and 57.8% specificity.
  • Consistent performance across different cohorts, including anal cytology, highlighting robustness and adaptability.

Conclusions:

  • Cytoreader-V2 offers improved specificity and reproducibility over manual dual-stain reading while maintaining high sensitivity.
  • The AI tool shows significant stability and adaptability, making it scalable for various clinical settings.
  • Cytoreader-V2 represents a transformative AI application in digital pathology for global cervical cancer screening.