Assessing artificial intelligence enabled liquid-based cytology for triaging HPV-positive women: a population-based cross-sectional study.

Peng XueHai-Miao XuHong-Ping TangWen-Qing WuSamuel SeeryXiao HanHu YeYu JiangYou-Lin Qiao

Published in: Acta obstetricia et gynecologica Scandinavica (2023)

AI-LBC has equivalent sensitivity and higher specificity compared with cytologists, with more efficient colposcopy referrals for HPV-positive women. AI-LBC could be particularly useful in regions where experienced cytologists are few in number. Further investigations are needed to determine triaging performance through prospective designs.

Keyphrases

artificial intelligence
cervical cancer screening
high grade
machine learning
big data
polycystic ovary syndrome
deep learning
pregnancy outcomes
type diabetes
skeletal muscle
insulin resistance
pregnant women
structural basis