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Whitefrank Frank

As seen in: Frontiers in Digital Health
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Articles

Diagnostic accuracy of an artificial intelligence-driven cytopathological tool in detecting cervical pre-cancerous lesions from Pap smear images

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By David Muhunzi, Deogratias Mzurikwao, Jackline E Ngowi, Leah Mnango, Belinda Njiro, Mboka Jacob, Bruno F. Sunguya, Sang'udi Sang'udi, Whitefrank Frank, Davis Amani, Angela Mlole
| Frontiers in Digital Health
Abstract Background: Cervical cancer remains a leading cause of cancer death among women in sub-Saharan Africa, with Tanzania bearing a disproportionate burden. The critical shortage of trained pathologists, coupled with the unprecedented disease burden in low-resource settings, underscores the urgent need for point-of-care screening and diagnosis to enable timely decision-making.
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