{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T21:04:16Z","timestamp":1792789456699,"version":"4.5.0"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Artificial intelligence\u2013based robotic systems are increasingly used in medical laboratories. This study aimed to test the performance of KANKA (Labenko), a stand-alone, artificial intelligence\u2013based robot that performs sorting and preanalytical quality control of blood tubes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>KANKA is designed to perform preanalytical quality control with respect to error control and preanalytical sorting of blood tubes. To detect sorting errors and preanalytical inappropriateness within the routine work of the laboratory, a total of 1000 blood tubes were presented to the KANKA robot in 7 scenarios. These scenarios encompassed various days and runs, with 5 repetitions each, resulting in a total of 5000 instances of sorting and detection of preanalytical errors. As the gold standard, 2 experts working in the same laboratory identified and recorded the correct sorting and preanalytical errors. The success rate of KANKA was calculated for both the accurate tubes and those tubes with inappropriate identification.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>KANKA achieved an overall accuracy rate of 99.98% and 100% in detecting tubes with preanalytical errors. It was found that KANKA can perform the control and sorting of 311 blood tubes per hour in terms of preanalytical errors.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>KANKA categorizes and records problem-free tubes according to laboratory subunits while identifying and classifying tubes with preanalytical inappropriateness into the correct error sections. As a blood acceptance and tube sorting system, KANKA has the potential to save labor and enhance the quality of the preanalytical process.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ajcp\/aqad179","type":"journal-article","created":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T13:28:49Z","timestamp":1706534929000},"page":"553-560","source":"Crossref","is-referenced-by-count":6,"title":["Measuring the performance of an artificial intelligence\u2013based robot that classifies blood tubes and performs quality control in terms of preanalytical errors: A preliminary study"],"prefix":"10.1093","volume":"161","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9266-0844","authenticated-orcid":false,"given":"Ali R\u0131za","family":"\u015ei\u015fman","sequence":"first","affiliation":[{"name":"Department of Medical Biochemistry, School of Medicine, Dokuz Eylul University , Inciralti, Izmir , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1483-997X","authenticated-orcid":false,"given":"Banu \u0130\u015fbilen","family":"Ba\u015fok","sequence":"additional","affiliation":[{"name":"Izmir Faculty of Medicine, Department of Medical Biochemistry, University of Health Sciences Turkey, Konak, Izmir , Turkey"},{"name":"Clinical Chemistry Laboratory, Dr Behcet Uz Children Health and Surgery Education and Research Hospital, University of Health Sciences Turkey , Yeni\u015fehir, Izmir , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7057-171X","authenticated-orcid":false,"given":"\u0130nan\u00e7","family":"Karakoyun","sequence":"additional","affiliation":[{"name":"Izmir Faculty of Medicine, Department of Medical Biochemistry, University of Health Sciences Turkey , Yeni\u015fehir, Izmir , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4910-0128","authenticated-orcid":false,"given":"Ayfer","family":"\u00c7olak","sequence":"additional","affiliation":[{"name":"Izmir Faculty of Medicine, Department of Medical Biochemistry, University of Health Sciences Turkey , Yeni\u015fehir, Izmir , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5186-1092","authenticated-orcid":false,"given":"U\u011fur","family":"Bilge","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Department of Biostatistics and Medical Informatics, Akdeniz University , Antalya , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5999-3399","authenticated-orcid":false,"given":"Ferhat","family":"Demirci","sequence":"additional","affiliation":[{"name":"Izmir Faculty of Medicine, Department of Medical Biochemistry, University of Health 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