{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:52:12Z","timestamp":1787014332738,"version":"build-2736575974"},"reference-count":13,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,10,3]],"date-time":"2023-10-03T00:00:00Z","timestamp":1696291200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100013027","name":"Calvary Mater Newcastle","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100013027","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001081","name":"Hunter Medical Research Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001081","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015676","name":"NSW Health Pathology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015676","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Digital pathology artificial intelligence (AI) platforms have the capacity to improve over time through \u201cdeep machine learning.\u201d We have previously reported on the accuracy of peripheral white blood cell (WBC) differential and blast identification by Techcyte (Techcyte, Inc., Orem, UT, USA), a digital scanner\u2010agnostic web\u2010based system for blood film reporting. The aim of the current study was to compare AI protocols released over time to assess improvement in cell identification.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>WBC differentials were performed using Techcyte's online AI software on the same 124 digitized abnormal peripheral blood films (including 64 acute and 22 chronic leukaemias) in 2019 (AI1), 2020 (AI2), and 2022 (AI3), with no reassignment by a morphologist at any time point. AI results were correlated to the \u201cgold standard\u201d of manual microscopy, and comparison of Lin's concordance coefficients (LCC) and sensitivity and specificity of blast identification were used to determine the superior AI version.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      AI correlations (\n                      <jats:italic>r<\/jats:italic>\n                      ) with manual microscopy for individual cell types ranged from 0.50\u20130.90 (AI1), 0.66\u20130.86 (AI2) and 0.71\u20130.91 (AI3). AI3 concordance with manual microscopy was significantly improved compared to AI1 for identification of neutrophils (LCC AI3\u2009=\u20090.86 vs. AI1\u2009=\u20090.77,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.03), total granulocytes (LCC AI3\u2009=\u20090.92 vs. AI1\u2009=\u20090.82,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.0008), immature granulocytes (LCC AI3\u2009=\u20090.67 vs. AI1\u2009=\u20090.38,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.0014), and promyelocytes (LCC AI3\u2009=\u20090.53 vs. AI1\u2009=\u20090.16,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.0008). Sensitivity for blast identification (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200965 slides) improved from 97% (AI1), to 98% (AI2), to 100% (AI3), while blast specificity decreased from 24% (AI1), to 14% (AI2) to 12% (AI3).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Techcyte AI has shown significant improvement in cell identification over time and maintains high sensitivity for blast identification in malignant films.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ijlh.14180","type":"journal-article","created":{"date-parts":[[2023,10,3]],"date-time":"2023-10-03T03:41:45Z","timestamp":1696304505000},"page":"92-98","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A comparative evaluation of three consecutive artificial intelligence algorithms released by Techcyte for identification of blasts and white blood cells in abnormal peripheral blood films"],"prefix":"10.1111","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1612-2382","authenticated-orcid":false,"given":"Lisa F.","family":"Lincz","sequence":"first","affiliation":[{"name":"Haematology Department Calvary Mater Newcastle  Waratah New South Wales Australia"},{"name":"School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing University of Newcastle  Callaghan New South Wales Australia"},{"name":"Precision Medicine Research Program Hunter Medical Research Institute  New Lambton New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7357-7041","authenticated-orcid":false,"given":"Karan","family":"Makhija","sequence":"additional","affiliation":[{"name":"Haematology Department Calvary Mater Newcastle  Waratah New South Wales Australia"},{"name":"Precision Medicine Research Program Hunter Medical Research Institute  New Lambton New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Khaled","family":"Attalla","sequence":"additional","affiliation":[{"name":"Precision Medicine Research Program Hunter Medical Research Institute  New Lambton New South Wales Australia"},{"name":"New South Wales Health Pathology John Hunter Hospital  New Lambton New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2762-9883","authenticated-orcid":false,"given":"Fiona E.","family":"Scorgie","sequence":"additional","affiliation":[{"name":"Haematology Department Calvary Mater Newcastle  Waratah New South Wales Australia"},{"name":"Precision Medicine Research Program Hunter Medical Research Institute  New Lambton New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8069-090X","authenticated-orcid":false,"given":"Anoop K.","family":"Enjeti","sequence":"additional","affiliation":[{"name":"Haematology Department Calvary Mater Newcastle  Waratah New South Wales Australia"},{"name":"Precision Medicine Research Program Hunter Medical Research Institute  New Lambton New South Wales Australia"},{"name":"New South Wales Health Pathology John Hunter Hospital  New Lambton New South Wales Australia"},{"name":"School of Medicine and Public Health College of Health, Medicine and Wellbeing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ritam","family":"Prasad","sequence":"additional","affiliation":[{"name":"Precision Medicine Research Program Hunter Medical Research Institute  New Lambton New South Wales Australia"},{"name":"New South Wales Health Pathology John Hunter Hospital  New Lambton New South Wales 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Hematology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/ijlh.14180","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T05:46:58Z","timestamp":1730353618000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/ijlh.14180"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,3]]},"references-count":13,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["10.1111\/ijlh.14180"],"URL":"https:\/\/doi.org\/10.1111\/ijlh.14180","archive":["Portico"],"relation":{},"ISSN":["1751-5521","1751-553X"],"issn-type":[{"value":"1751-5521","type":"print"},{"value":"1751-553X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,3]]},"assertion":[{"value":"2023-03-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication 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