
Performance of an AI-based automated feces analyzer compared with the formalin-ether concentration technique for intestinal parasite detection: a diagnostic accuracy study
Original article Hui-Jin Yu1, Tae Yeul Kim2, Eun Jeong Won3, Hee Jae Huh2,4 1Department of Laboratory Medicine, Seoul Medical Center, Seoul, Korea2Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea3Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea4Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea Correspondence to Tae Yeul Kim E-mail: eilpost@skku.edu; Eun Jeong Won E-mail: ejwon@amc.seoul.kr Ann Clin Microbiol 2026;29(2):6. https://doi.org/10.5145/ACM.2026.29.2.6Received on 26 February 2026, Revised on 14 April 2026, Accepted on 7 May 2026, Published on 8 May 2026.Copyright © Korean Society of Clinical Microbiology.This is an Open Access article which is freely available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/). Abstract Background: To overcome the labor-intensive and technician-dependent nature of the formalin–ether concentration technique (FECT), artificial intelligence (AI)-based automated feces


