Enhancing cervical cancer cytology screening via artificial intelligence innovation

Abstract A double-check process helps prevent errors and ensures quality control. However, it may lead to decreased personal accountability, reduced effort, and declining quality checks. Introducing an artificial intelligence (AI)-based system in such scenarios could effectively address the risk of...

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Bibliographic Details
Main Authors: Yuki Kurita, Shiori Meguro, Isao Kosugi, Yasunori Enomoto, Hideya Kawasaki, Tomoaki Kano, Takeji Saitoh, Kazuya Shinmura, Toshihide Iwashita
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-70670-6