Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting | Zendy

Oscar Holmström | Zendy; Nina Linder | Zendy; Harrison Kaingu | Zendy; Ngali Mbuuko | Zendy; Jumaa Mbete | Zendy; Felix Kinyua | Zendy; Sara Törnquist | Zendy; Martin Muinde | Zendy; Leena Krogerus | Zendy; Mikael Lundin | Zendy; Vinod Diwan | Zendy; Johan Lundin | Zendy

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Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting

Author(s) -

Oscar Holmström,

Nina Linder,

Harrison Kaingu,

Ngali Mbuuko,

Jumaa Mbete,

Felix Kinyua,

Sara Törnquist,

Martin Muinde,

Leena Krogerus,

Mikael Lundin,

Vinod Diwan,

Johan Lundin

Publication year - 2021

Publication title -

jama network open

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.278

H-Index - 39

ISSN - 2574-3805

DOI - 10.1001/jamanetworkopen.2021.1740

Subject(s) - papanicolaou stain , cervical cancer , medicine , atypia , pap test , papanicolaou test , cervical intraepithelial neoplasia , bethesda system , medical physics , cancer , cervical cancer screening , cytology , pathology

This diagnostic study uses data from a single health center in Kenya to investigate the use of digital microscopy and artificial intelligence in a resource-limited area to detect abnormal cells in Papanicolaou tests.

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