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Kanema Chiyenu

Datos Biográficos

ID9070524
NOMBREKanema Chiyenu
NOMBRESKanema
APELLIDOChiyenu
FIRMACHIYENU K
AFILIACIONESCentre for Infectious Disease Research in Zambia
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Evaluating InferVision’s Computer-Aided Detection (CAD) algorithm for Tuberculosis (TB) screening, Lusaka, Zambia

    Open Access•Paul Somwe, Minyoi Maimbolwa et al.•ARTICLE•PLOS Global Public Health•2025

    The objective of this study was to evaluate the diagnostic performance of InferRead DR Chest for tuberculosis (TB) screening in a high HIV and TB burden setting. The study assessed the performance of InferRead DR Chest using anonymized chest X-ray images from an active TB case finding study in Lusaka, Zambia, for individuals aged 15 and older. The Xpert MTB/RIF or MTB culture was the composite reference standard. Performance was evaluated using t…

Sin obras prominentes en esta página.

  • Evaluating InferVision’s Computer-Aided Detection (CAD) algorithm for Tuberculosis (TB) screening, Lusaka, Zambia

    Open Access•Paul Somwe, Minyoi Maimbolwa et al.•ARTICLE•PLOS Global Public Health•2025

    The objective of this study was to evaluate the diagnostic performance of InferRead DR Chest for tuberculosis (TB) screening in a high HIV and TB burden setting. The study assessed the performance of InferRead DR Chest using anonymized chest X-ray images from an active TB case finding study in Lusaka, Zambia, for individuals aged 15 and older. The Xpert MTB/RIF or MTB culture was the composite reference standard. Performance was evaluated using t…

Algorithm (1 obras) · Area under the curve (1 obras) · COVID-19 diagnosis using AI (1 obras) · Immunology (1 obras) · Infectious Diseases and Tuberculosis (1 obras) · Internal Medicine (1 obras) · Medicine (1 obras) · Pathology (1 obras) · Receiver operating characteristic (1 obras) · Tuberculosis (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae