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Dataset Information

Validation of Automated Visual Evaluation (AVE) on Smartphone Images for Cervical Cancer Screening in a Prospective Study in Zambia.


ABSTRACT:

Objectives

Visual inspection with acetic acid (VIA) is a low-cost approach for cervical cancer screening in most low- and middle-income countries (LMICs) but lacks objectivity and requires sustained training and quality assurance. We developed, trained, and validated an artificial-intelligence-based "Automated Visual Evaluation" (AVE) tool that can be adapted to run on smartphones to assess smartphone-captured images of the cervix and identify precancerous lesions, helping augment performance of VIA.

Design

Prospective study.

Setting

Eight public health facilities in Zambia.

Participants

8,204 women aged 25-55.

Interventions

Cervical images captured on commonly used low-cost smartphone models were matched with key clinical information including human imm

SUBMITTER: Hu L 

PROVIDER: S-EPMC10407974 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature