WHAT IS ALREADY KNOWN ON THIS TOPIC
Visual inspection with acetic acid is limited by subjectivity and a lack of skilled human resource. Artificial intelligence has been applied to improve diagnostic accuracy.
WHAT THIS STUDY ADDS
In the absence of pathology, expert opinion can be used as a reference in training the artificial intelligence algorithm for cervical cancer screening in low- and middle-income countries. The algorithm has the potential to provide quality and objective decisional support in screening for cervical cancer in low resource settings.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
Improving the diagnostic accuracy of the algorithm might enable task shifting of screening with the potential to increase coverage and adherence to follow-up. The algorithm will be required to differentiate cancers from pre-cancers and identify the squamo-columnar junction to guide treatment decisions for ablation or excision and referral.