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Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chong, Yosep | - |
| dc.contributor.author | Hong, Ran | - |
| dc.contributor.author | Kwon, Hyeong Ju | - |
| dc.contributor.author | Kim, Haeryoung | - |
| dc.contributor.author | Kim, Lucia | - |
| dc.contributor.author | Kim, Soon Jae | - |
| dc.contributor.author | Choi, Yoon Jung | - |
| dc.date.accessioned | 2026-01-20T02:39:29Z | - |
| dc.date.available | 2026-01-20T02:39:29Z | - |
| dc.date.created | 2026-01-14 | - |
| dc.date.issued | 2026-02 | - |
| dc.identifier.issn | 8755-1039 | - |
| dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/209974 | - |
| dc.description.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. | - |
| dc.language | English | - |
| dc.publisher | Wiley-Liss | - |
| dc.relation.isPartOf | DIAGNOSTIC CYTOPATHOLOGY | - |
| dc.relation.isPartOf | DIAGNOSTIC CYTOPATHOLOGY | - |
| dc.subject.MESH | Cytodiagnosis* / methods | - |
| dc.subject.MESH | Cytodiagnosis* / standards | - |
| dc.subject.MESH | Humans | - |
| dc.subject.MESH | Republic of Korea | - |
| dc.title | Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership | - |
| dc.type | Article | - |
| dc.contributor.googleauthor | Chong, Yosep | - |
| dc.contributor.googleauthor | Hong, Ran | - |
| dc.contributor.googleauthor | Kwon, Hyeong Ju | - |
| dc.contributor.googleauthor | Kim, Haeryoung | - |
| dc.contributor.googleauthor | Kim, Lucia | - |
| dc.contributor.googleauthor | Kim, Soon Jae | - |
| dc.contributor.googleauthor | Choi, Yoon Jung | - |
| dc.identifier.doi | 10.1002/dc.70052 | - |
| dc.relation.journalcode | J00730 | - |
| dc.identifier.eissn | 1097-0339 | - |
| dc.identifier.pmid | 41305985 | - |
| dc.identifier.url | https://onlinelibrary.wiley.com/doi/10.1002/dc.70052 | - |
| dc.subject.keyword | artificial intelligence | - |
| dc.subject.keyword | cytopathology | - |
| dc.subject.keyword | digital pathology | - |
| dc.subject.keyword | education | - |
| dc.subject.keyword | National Cancer Screening Program | - |
| dc.subject.keyword | Pap test | - |
| dc.subject.keyword | quality assurance | - |
| dc.contributor.affiliatedAuthor | Choi, Yoon Jung | - |
| dc.identifier.scopusid | 2-s2.0-105023057827 | - |
| dc.identifier.wosid | 001624955300001 | - |
| dc.citation.volume | 54 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 146 | - |
| dc.citation.endPage | 159 | - |
| dc.identifier.bibliographicCitation | DIAGNOSTIC CYTOPATHOLOGY, Vol.54(2) : 146-159, 2026-02 | - |
| dc.identifier.rimsid | 90972 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.subject.keywordAuthor | artificial intelligence | - |
| dc.subject.keywordAuthor | cytopathology | - |
| dc.subject.keywordAuthor | digital pathology | - |
| dc.subject.keywordAuthor | education | - |
| dc.subject.keywordAuthor | National Cancer Screening Program | - |
| dc.subject.keywordAuthor | Pap test | - |
| dc.subject.keywordAuthor | quality assurance | - |
| dc.type.docType | Review; Early Access | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalWebOfScienceCategory | Medical Laboratory Technology | - |
| dc.relation.journalWebOfScienceCategory | Pathology | - |
| dc.relation.journalResearchArea | Medical Laboratory Technology | - |
| dc.relation.journalResearchArea | Pathology | - |
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