{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T18:18:54Z","timestamp":1778523534833,"version":"3.51.4"},"reference-count":23,"publisher":"International Union Against Tuberculosis and Lung Disease","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJTLD Open"],"accepted":{"date-parts":[[2025,12,26]]},"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>SUMMARY<\/jats:title>\n                  <jats:sec>\n                    <jats:title>BACKGROUND<\/jats:title>\n                    <jats:p>Post-market surveillance (PMS) under the European Union In Vitro Diagnostic Regulation (IVDR) demands proactive, literature-based evidence, but mature assays like QuantiFERON TB Gold Plus (QFT-Plus) generate volumes of peer-reviewed and other literature that can strain manual workflows.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>We ran a comparative study of an AI-enabled literature-surveillance platform (jointly developed with Huma.ai called the Huma.ai Platform) versus manual search for QFT-Plus PMS. PubMed and PubMed Central were queried for publications in 2024; human studies published in English underwent duplicate screening and full-text appraisal. Outcomes were yield, precision, overlap\/unique entries, and reviewer time.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>The Huma.ai Platform retrieved 673 records, with 661 relevant to screening (98.21% precision). Manual searching retrieved 111, with 106 relevant to screening (95.50% precision): there were 103 shared and three manual-only items (metadata gaps). The Huma.ai Platform contributed 561 unique papers, 5 of which were excluded after full-text appraisal. In total, 664 articles were evaluated; no new safety signals were identified. Screening time averaged \u223c16 s per article with Huma.ai Platform versus \u223c60 s manually; full-text time (\u223c15 min per article) was similar.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>AI-assisted surveillance substantially increases coverage and reduces screening effort while maintaining high precision. Thus it supports efficient, reproducible PMS for QFT-Plus.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.5588\/ijtldopen.25.0711","type":"journal-article","created":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T17:51:51Z","timestamp":1778521911000},"page":"293-297","source":"Crossref","is-referenced-by-count":0,"title":["Post-market surveillance for literature on QuantiFERON TB Gold Plus: what improvements can artificial intelligence bring?"],"prefix":"10.5588","volume":"3","author":[{"given":"J.","family":"Reniewicz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Alagna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"Kordylas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Latacz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V.","family":"Suryaprakash","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"U.","family":"Nowak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Kois-Ostrowska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Weleszczuk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Blacha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V.","family":"Nikolayevskyy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3554","published-online":{"date-parts":[[2026,5,1]]},"reference":[{"key":"2026051110514863000_3.5.293.1","unstructured":"World Health Organization . Guidance for post-market surveillance and market surveillance of medical devices, including in vitro diagnostics. Geneva: WHO, 2020."},{"key":"2026051110514863000_3.5.293.2","unstructured":"World Health Organization . WHO consolidated guidelines on tuberculosis: module 3: diagnosis. Guideline\/technical guidance. Geneva: WHO, 2025."},{"key":"2026051110514863000_3.5.293.3","unstructured":"World Health Organization . Use of alternative interferon-gamma release assays for the diagnosis of TB infection: WHO policy statement. Technical guidance. Geneva: WHO, 2022."},{"key":"2026051110514863000_3.5.293.4","unstructured":"Prevention CfDCa . Clinical testing guidance for tuberculosis: Interferon gamma release assay. 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