Evaluation of the effectiveness of digital technologies and artificial intelligence for real-time use in cervical cancer screening

Remote digital cytology using artificial intelligence is a new approach in diagnostics that allows for real-time cytological examination. Material and methods. The study was conducted from June 2022 to December 2024. The material includes cervical scrapings from 1.473 patients aged 18 to 70 years who consulted a gynecologist. Preparations of traditional cytology (TC), liquid cytology, digital cytology (DC) and a gallery of cells selected by artificial intelligence (AI) were evaluated. Domestic technologies and equipment were used in the work. Results. When the doctor analyzed the cells of the artificial intelligence gallery, the sensitivity was 99.25%, when examining a digital cytology preparations with artificial intelligence — 98.50%. Digital cytology has an adequacy 19% higher than traditional cytology. The average time for a doctor to examine cells in the artificial intelligence gallery was 1 minute 53 seconds; for a comprehensive study of a virtual digital cytology drug with artificial intelligence, it was 18 minutes 45 seconds. Conclusion. The data obtained proves the advantages of the CC method with AI. Its use in a remote format makes it possible to perform QI in real time, which will eliminate low-quality material, prescribe additional research and treatment during the current gynecologist appointment.

Authors

Institutions

Publication Details

Journal
P A Herzen Journal of Oncology
Published
2026-06-16
DOI
https://doi.org/10.17116/onkolog20261503143
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the effectiveness of digital technologies and artificial intelligence for real-time use in cervical cancer screening

Е. Н. Славнова, N.N. Bayandina, E.V. Gladysheva, L.P. Popova
P A Herzen Journal of Oncology
AI in cancer detection
article

Evaluation of the effectiveness of digital technologies and artificial intelligence for real-time use in cervical cancer screening

Е. Н. Славнова, N.N. Bayandina, E.V. Gladysheva, L.P. Popova
article en

Abstract

Remote digital cytology using artificial intelligence is a new approach in diagnostics that allows for real-time cytological examination. Material and methods. The study was conducted from June 2022 to December 2024. The material includes cervical scrapings from 1.473 patients aged 18 to 70 years who consulted a gynecologist. Preparations of traditional cytology (TC), liquid cytology, digital cytology (DC) and a gallery of cells selected by artificial intelligence (AI) were evaluated. Domestic technologies and equipment were used in the work. Results. When the doctor analyzed the cells of the artificial intelligence gallery, the sensitivity was 99.25%, when examining a digital cytology preparations with artificial intelligence — 98.50%. Digital cytology has an adequacy 19% higher than traditional cytology. The average time for a doctor to examine cells in the artificial intelligence gallery was 1 minute 53 seconds; for a comprehensive study of a virtual digital cytology drug with artificial intelligence, it was 18 minutes 45 seconds. Conclusion. The data obtained proves the advantages of the CC method with AI. Its use in a remote format makes it possible to perform QI in real time, which will eliminate low-quality material, prescribe additional research and treatment during the current gynecologist appointment.

P A Herzen Journal of OncologyVol. 15(3)
Central Clinical Hospital and Polyclinic (RU), Presidential Executive Office (RU), Kursk Regional Clinical Oncology Center (RU), P.A. Hertzen Moscow Oncology Research Institute (RU)
Good health and well-being
Openalex Percentile: Top 5%
AI in cancer detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.