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Benchmarking the diagnostic test accuracy of certified AI p..:
Hua, David
;
Nguyen, Khang
;
Petrina, Neysa
...
International Journal of Medical Informatics. 177 (2023) - p. 105159 , 2023
Link:
https://doi.org/10.1016/j.ijmedinf.2023.105159
RT Journal T1 <Title>Benchmarking the diagnostic test accuracy of certified AI products for screening pulmonary tuberculosis in digital chest radiographs: Preliminary evidence from a rapid review and meta-analysis</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijmedinf.2023.105159&Exemplar=1&LAN=DE A1 Hua, David A1 Nguyen, Khang A1 Petrina, Neysa A1 Young, Noel A1 Cho, Jin-Gun A1 Yap, Adeline A1 Poon, Simon K. PB Elsevier BV YR 2023 SN 1386-5056 JF International Journal of Medical Informatics VO 177 SP 105159 LK http://dx.doi.org/https://doi.org/10.1016/j.ijmedinf.2023.105159 DO https://doi.org/10.1016/j.ijmedinf.2023.105159 SF ELIB - SuUB Bremen
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