{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T14:56:27Z","timestamp":1790780187999,"version":"4.1.0"},"reference-count":32,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Noul Inc"},{"name":"Noul Inc."},{"DOI":"10.13039\/100008109","name":"University of Notre Dame","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008109","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Accurate malaria diagnosis is key for patient management, surveillance, and control. Automated microscopy can overcome the variation observed among microscopists and is a promising new tool for diagnosis. The Noul miLab integrates smear preparation, staining, imaging, and artificial intelligence\u2013supported parasite detection in a portable device.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 2201 samples were collected from febrile patients across 2 sites in Ethiopia, where Plasmodium falciparum and Plasmodium vivax are frequent, and in Ghana, where P. falciparum transmission is intense. Samples were screened using local microscopy at the health center, miLab, and rapid diagnostic tests. Quantitative polymerase chain reaction (qPCR) and expert microscopy were used as gold standards.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The miLab reached a sensitivity for P. falciparum diagnosis of 96.3% (335 of 348) using expert microscopy as the gold standard and a sensitivity of 97.4% (298 of 306) using qPCR-positive infections at densities &amp;gt;200 parasites\/\u00b5L as the gold standard. The sensitivity of miLab for P. vivax was 96.8% (399 of 412) using expert microscopy as the gold standard and 95.9% (419 of 437) using qPCR-positive infections at densities &amp;gt;200 parasites\/\u00b5L as the gold standard. Compared to qPCR, specificity was 98.8% for P. falciparum and 97.8% for P. vivax. miLab was significantly more sensitive than microscopy conducted at the health center. In Ethiopia, among miLab-positive samples, miLab assigned the correct parasite species to 98.7% of P. falciparum and 96.2% of P. vivax mono-infections.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The miLab automated microscope shows high sensitivity and specificity for P. falciparum and P. vivax diagnosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/cid\/ciag484","type":"journal-article","created":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T11:20:45Z","timestamp":1786706445000},"source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence\u2013Supported Automated Microscopy for Malaria Diagnosis: A Multicenter Study"],"prefix":"10.1093","author":[{"given":"Dawit","family":"Hawaria","sequence":"first","affiliation":[{"name":"Hawassa University Malaria and Other Vector-BorneDiseases Research Center, , Hawassa 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Department of Medical Laboratory Science, , Tamale ,","place":["Ghana"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Birhanu","family":"Lulu","sequence":"additional","affiliation":[{"name":"Hawassa University Malaria and Other Vector-BorneDiseases Research Center, , Hawassa ,","place":["Ethiopia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Colins O","family":"Oduma","sequence":"additional","affiliation":[{"name":"Uzima University Department of Microbiology, , Kisumu ,","place":["Kenya"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1854-4104","authenticated-orcid":false,"given":"Isaac Asenso","family":"Brobbey-Kyei","sequence":"additional","affiliation":[{"name":"Ejisu Government Hospital , Kumasi ,","place":["Ghana"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4249-9850","authenticated-orcid":false,"given":"Tolulope Adeyemi","family":"Kayode","sequence":"additional","affiliation":[{"name":"University of Notre Dame Department of Biological Sciences and Eck Institute for Global Health, , Notre Dame, Indiana ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wossenseged","family":"Lemma","sequence":"additional","affiliation":[{"name":"University of Gondar Department of Medical Biotechnology, , Gondar ,","place":["Ethiopia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nega","family":"Berhane","sequence":"additional","affiliation":[{"name":"University of Gondar Department of Medical Biotechnology, , Gondar ,","place":["Ethiopia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kingsley","family":"Badu","sequence":"additional","affiliation":[{"name":"Kwame Nkrumah University of Science and Technology Department of Theoreticaland Applied Biology, , Kumasi 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