Artificial Intelligence–Assisted Daily Quality Control System for the Histologic Diagnosis of Gastrointestinal Endoscopic Biopsies: A 1-Year Experience
AI-based daily QC systems are plausible solutions to guarantee high-quality pathologic diagnosis by enabling rapid detection and correction of misdiagnosis.
Authors
- Seokju Yun (ORCID: https://orcid.org/0000-0002-9728-6097)
- Yuri Hwang (ORCID: https://orcid.org/0000-0002-2433-4991)
- Youngjin Park (ORCID: https://orcid.org/0000-0002-0754-8103)
- Jiwook Jang (ORCID: https://orcid.org/0000-0003-3452-8041)
- Seung-Yeon Yoo
- Tae Young Cho
- Young Sin Ko (ORCID: https://orcid.org/0000-0003-1319-4847)
- Ok Hee Lee
Institutions
- Green Cross (South Korea) (KR)
Publication Details
- Journal
- Archives of Pathology & Laboratory Medicine
- Published
- 2024-10-25
- DOI
- https://doi.org/10.5858/arpa.2024-0173-oa
- Citations
- 4
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.13