Evidence map›Paper›PMID 41305985›Full record

ReviewDiagnostic cytopathology2026

Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership.

Yosep Chong, Ran Hong, Hyeong Ju Kwon, Haeryoung Kim, Lucia Kim, Soon Jae Kim, Yoon Jung Choi

Abstract readReview
In one paragraph

Review in Diagnostic cytopathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yosep ChongDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.ORCID https://orcid.org/0000-0001-8615-3064
Ran HongDepartment of Pathology, Chosun University College of Medicine, Gwangju, Jeolla-do, South Korea.ORCID https://orcid.org/0000-0001-7011-5215
Hyeong Ju KwonDepartment of Pathology, Yonsei University Wonju College of Medicine, Wonju Severance Christian Hospital, Wonju, Gangwon-do, South Korea.ORCID https://orcid.org/0000-0003-1615-7152
Haeryoung KimDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0002-4205-9081
Lucia KimDepartment of Pathology, Inha University Hospital, Inha University College of Medicine, Incheon, Gyeonggi-do, South Korea.ORCID https://orcid.org/0000-0002-4100-6607
Soon Jae KimDepartment of Pathology, Samsung Medical Center, Seoul, South Korea.
Yoon Jung ChoiDepartment of Pathology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, South Korea.ORCID https://orcid.org/0000-0002-5701-8864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over four decades, Korea has advanced from a limited cytology service to a global model of digital and AI-integrated cytopathology. Since the founding of the Korean Society for Cytopathology (KSC) in 1986, a nationwide framework has been established-encompassing standardized practices, systematic education for specialists and cytotechnologists, and nationwide cervical screening through the National Cancer Control Program. A mandatory Quality Assurance Program (QAP) launched in 2005 ensured consistent diagnostic quality, achieving an unsatisfactory Pap test rate below 0.2% and cytology-histology discrepancy under 0.6% among over 10 million annual examinations. The 2021 STANBAI project digitized two decades of QAP slides into a standardized whole-slide image (WSI) archive, driving the development of multiple AI models. In parallel, the CytoAcademy web/mobile platform enabled interactive WSI-based education and global participation by over 200 institutions. Korea has also shared this model internationally through on-site and virtual programs in low-resource countries. By integrating national QA, digital infrastructure, AI innovation, and global training, Korea has built a future-ready cytopathology ecosystem-enhancing diagnostic precision and offering a scalable blueprint for global implementation.

Indexed as

CytodiagnosisHumansRepublic of Koreaartificial intelligencecytopathologydigital pathologyeducationNational Cancer Screening ProgramPap testquality assurance

Identifiers

PMID41305985
PMCPMC12756690

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.