{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T15:18:04Z","timestamp":1790263084516,"version":"4.1.0"},"reference-count":14,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"39","license":[{"start":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T00:00:00Z","timestamp":1727395200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,9,27]]},"abstract":"<jats:p>To evaluate the alarm notification of artificial intelligence in detecting parasites on the KU-F40 Fully Automatic Feces Analyzer and provide a reference for clinical diagnosis in parasite diseases. A total of 1030 fecal specimens from patients in our hospital from May to June 2023 were collected, and parasite detection studies were conducted using the KU-F40 automated feces analyzer (normal mode method, floating-sedimentation mode method), acid\u2013ether sedimentation method, and direct smear microscopy method, respectively. The positive detection rate of parasites in the 1030 fecal specimens was 22.9% (236 cases), of which the KU-F40 normal mode method had a detection rate of 16.3% (168 cases), the acid\u2013ether sedimentation method had a detection rate of 19.0% (196 cases), and the direct smear microscopy method had a detection rate of 13.1% (135 cases). The detection rates of the first 2 methods were higher than those of the direct smear microscopy method, and the difference was statistically significant (<jats:italic toggle=\"yes\">P<\/jats:italic>\u2005&lt;\u2005.05). The detection rate of the KU-F40 floating-sedimentation mode method was 11.9% (123 cases), which was lower than that of the direct smear microscopy, and the difference was not statistically significant (<jats:italic toggle=\"yes\">P<\/jats:italic> &gt; .05). The sensitivity of the KU-F40 normal mode method, acid\u2013ether sedimentation method, direct smear microscopy method, and the KU-F40 floating-sedimentation mode method were 71.2%, 83.1%, 57.2%, and 52.1%, respectively, and the specificity was 94.7%, 100%, 100%, and 97.7%, respectively. The coincidence rates of the KU-F40 normal mode method was 90.78%, with Kappa values of 0.633. The positive detection rate of parasites using the KU-F40 normal mode method is higher than that using the direct smear microscopy method. It has high sensitivity and specificity and has advantages such as high automation and fast detection speed. It can replace the microscopy method for routine screening and has higher clinical application value in the diagnosis of intestinal parasitic diseases.<\/jats:p>","DOI":"10.1097\/md.0000000000039788","type":"journal-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T21:00:29Z","timestamp":1727470829000},"page":"e39788","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":5,"title":["Evaluation of alarm notification of artificial intelligence in automated analyzer detection of parasites"],"prefix":"10.1097","volume":"103","author":[{"given":"Zila","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Liao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ximei","family":"Huang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinguang","family":"Tang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8631-4339","authenticated-orcid":false,"given":"Faquan","family":"Lin","sequence":"additional","affiliation":[{"name":"Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"R1-20250504","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1128\/microbiolspec.DMIH2-0013-2015","article-title":"Parasites.","volume":"4","author":"Theel","year":"2016","journal-title":"Microbiol Spectr"},{"key":"R2-20250504","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.cmi.2018.04.028","article-title":"Rapid diagnosis of parasitic diseases: current scenario and future needs.","volume":"25","author":"Mom\u010dilovi\u0107","year":"2019","journal-title":"Clin Microbiol Infect"},{"key":"R3-20250504","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1016\/j.cmi.2015.03.015","article-title":"Clinical consequences of new diagnostic tools for intestinal parasites.","volume":"21","author":"van Lieshout","year":"2015","journal-title":"Clin Microbiol Infect"},{"key":"R4-20250504","first-page":"20","article-title":"The application and prospects of multidisciplinary cross-disciplinary new detection techniques in the diagnosis of parasitic infections(in Chinese).","volume":"40","author":"Jing","year":"2022","journal-title":"Chin J Parasitol Parasit Dis"},{"key":"R5-20250504","doi-asserted-by":"crossref","first-page":"g3730","DOI":"10.1136\/bmj.g3730","article-title":"Rapid diagnostic tests to improve treatment of malaria and other febrile illnesses: patient randomised effectiveness trial in primary care clinics in Afghanistan.","volume":"348","author":"Leslie","year":"2014","journal-title":"BMJ"},{"key":"R6-20250504","first-page":"1790","article-title":"The application of AVE-562 fully automatic fecal analyzer in parasite detection (in Chinese).","volume":"14","author":"Chen","year":"2017","journal-title":"Lab Med Clin Pract"},{"key":"R7-20250504","first-page":"3114","article-title":"The application of KRJ automatic fecal test instrument in the detection of gastrointestinal bleeding and parasitic infection (in Chinese).","volume":"15","author":"Zhu","year":"2018","journal-title":"Lab Med Clin Pract"},{"key":"R8-20250504","first-page":"5","article-title":"Investigation and analysis of the current situation of key human parasitic diseases in China in 2015.","volume":"38","author":"Chen","year":"2020","journal-title":"Chin J Parasitol Parasit Dis"},{"key":"R9-20250504","first-page":"121","article-title":"Analysis of monitoring results of clonorchiasis in Guangxi Zhuang Autonomous Region from 2016 to 2020 (in Chinese).","volume":"19","author":"Lv","year":"2021","journal-title":"Trop Dis Parasitol"},{"key":"R10-20250504","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.1007\/s11831-022-09858-w","article-title":"Advances towards automatic detection and classification of parasites microscopic images using deep convolutional neural network: methods, models and research directions.","volume":"30","author":"Kumar","year":"2023","journal-title":"Arch Comput Methods Eng"},{"key":"R12-20250504","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1109\/10.923789","article-title":"Automatic identification of human helminth eggs on microscopic fecal specimens using digital image processing and an artificial neural network.","volume":"48","author":"Yang","year":"2001","journal-title":"IEEE Trans Biomed Eng"},{"key":"R13-20250504","doi-asserted-by":"crossref","first-page":"3807","DOI":"10.1007\/s00436-015-4611-z","article-title":"A robust and automatic method for human parasite egg recognition in microscopic images.","volume":"114","author":"Li","year":"2015","journal-title":"Parasitol Res"},{"key":"R14-20250504","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1186\/s13071-020-04215-x","article-title":"Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm.","volume":"13","author":"Nagamori","year":"2020","journal-title":"Parasit Vectors"},{"key":"R15-20250504","doi-asserted-by":"crossref","first-page":"e1065","DOI":"10.7717\/peerj-cs.1065","article-title":"Automatic recognition of parasitic products in stool examination using object detection approach.","volume":"8","author":"Naing","year":"2022","journal-title":"PeerJ Comput Sci"}],"container-title":["Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.lww.com\/10.1097\/MD.0000000000039788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T00:46:23Z","timestamp":1746319583000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.lww.com\/10.1097\/MD.0000000000039788"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,27]]},"references-count":14,"journal-issue":{"issue":"39","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1097\/md.0000000000039788","relation":{},"ISSN":["1536-5964"],"issn-type":[{"value":"1536-5964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,27]]}}}