{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:43:59Z","timestamp":1786653839469,"version":"build-2736575974"},"reference-count":18,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives:<\/jats:title>\n                    <jats:p>Peripheral blood smear (PBS) is an essential diagnostic test in current medical practice. AI100 with Shonit\u2122 (AI100) is an automatic cell-locating device intended for white blood cell (WBC) differential count, red blood cell (RBC), and platelet morphology precharacterization. We report a multicenter study evaluating the clinical performance of the AI100 with Shonit\u2122 (combined performance after qualified reviewer verification) in PBS analysis, establishing its equivalence to manual microscopy for diagnostic purposes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>A retrospective multisite study was conducted at four sites (three in India and one in USA) from August 2021 to January 2023. A total of 882 samples were analyzed by two qualified reviewers in each site independently using manual microscopy and AI100 with Shonit\u2122. The post-review results were compared between AI100 and manual microscopy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      The overall agreement, sensitivity, and specificity for WBC abnormality are 95.03%, 92.68% and 95.41%, respectively. The overall agreement for RBC anisocytosis and poikilocytosis is 94.7% and 92.1%, respectively. For platelet morphology, the overall agreement, sensitivity, and specificity were 96.8%, 97.9%, and 94.6%, respectively. The repeatability and reproducibility of AI100 with Shonit\n                      <jats:sup>\u2122<\/jats:sup>\n                      were also evaluated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The performance comparison study results demonstrate that the AI100 with Shonit\u2122 is substantially equivalent to manual microscopy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/ijpm.ijpm_134_25","type":"journal-article","created":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T14:00:23Z","timestamp":1768831223000},"page":"87-96","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Clinical Evaluation of AI100 with Shonit\u2122 versus Manual Microscopy"],"prefix":"10.4103","volume":"69","author":[{"given":"C S","family":"Jayaprakash","sequence":"first","affiliation":[{"name":"Department of Pathology, Father Muller Medical College Hospital, Mangalore, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandeep","family":"Rao","sequence":"additional","affiliation":[{"name":"Department of Hematopathology, Triesta Sciences, A Unit of HCG, Bengaluru, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Resmi P.","family":"Nair","sequence":"additional","affiliation":[{"name":"Department of Pathology, Believers Church Medical College Hospital, Thiruvalla, Kerala, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Blessy Mary","family":"Thomas","sequence":"additional","affiliation":[{"name":"Department of Pathology, Believers Church Medical College Hospital, Thiruvalla, Kerala, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P Chandni","family":"Bhandary","sequence":"additional","affiliation":[{"name":"Department of Pathology, Father Muller Medical College Hospital, Mangalore, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hema N.","family":"Anadure","sequence":"additional","affiliation":[{"name":"Department of Hematopathology, Triesta Sciences, A Unit of HCG, Bengaluru, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C","family":"Chaitra","sequence":"additional","affiliation":[{"name":"Medical Department, Sigtuple Private Limited, Bengaluru, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2026,1,19]]},"reference":[{"key":"R1-20260403","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1155\/2003\/642562","article-title":"Automated detection of working area of peripheral blood smears using mathematical 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