Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220922406> ?p ?o ?g. }
- W4220922406 abstract "Cervical cancer remains a leading cause of cancer death in women, seriously threatening their physical and mental health. It is an easily preventable cancer with early screening and diagnosis. Although technical advancements have significantly improved the early diagnosis of cervical cancer, accurate diagnosis remains difficult owing to various factors. In recent years, artificial intelligence (AI)-based medical diagnostic applications have been on the rise and have excellent applicability in the screening and diagnosis of cervical cancer. Their benefits include reduced time consumption, reduced need for professional and technical personnel, and no bias owing to subjective factors. We, thus, aimed to discuss how AI can be used in cervical cancer screening and diagnosis, particularly to improve the accuracy of early diagnosis. The application and challenges of using AI in the diagnosis and treatment of cervical cancer are also discussed." @default.
- W4220922406 created "2022-04-03" @default.
- W4220922406 creator A5016030980 @default.
- W4220922406 creator A5036660837 @default.
- W4220922406 creator A5054068214 @default.
- W4220922406 creator A5064364566 @default.
- W4220922406 creator A5068274975 @default.
- W4220922406 creator A5072267482 @default.
- W4220922406 date "2022-03-11" @default.
- W4220922406 modified "2023-10-16" @default.
- W4220922406 title "Artificial Intelligence in Cervical Cancer Screening and Diagnosis" @default.
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- W4220922406 doi "https://doi.org/10.3389/fonc.2022.851367" @default.