AI Dual-stain Approach Improved Accuracy, Efficiency of Cervical Cancer Screening in NIH Study
Published:30 Jun.2020    Source:NIH

In a new study, a computer algorithm improved the accuracy and efficiency of cervical cancer screening compared with cytology (Pap test), the current standard for follow-up of women who test positive with primary human papillomavirus (HPV) screening. The new approach uses artificial intelligence (AI) to automate dual-stain evaluation and has clear implications for clinical care.

Findings from the study were published June 25, 2020, in the Journal of the National Cancer Institute. The algorithm was developed and the study conducted by investigators at the National Cancer Institute (NCI), part of the National Institutes of Health, in collaboration with researchers from several other institutions.