Artificial Intelligence-driven Digital Cytology-based Cervical Cancer Screening: Is the Time Ripe to Adopt This Disruptive Technology in Resource-constrained Settings? A Literature Review.
Cervical cancer is still a public health scourge in the developing countries due to the lack of organized screening programs. Though liquid-based cytology methods improved the performance of cervical cytology, the interpretation still suffers from subjectivity. Artificial intelligence (AI) algorithm...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 4; pp. 1643 - 1653 |
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| Autores principales: | , , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=169808816&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 169808816 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2023 vid: 36 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 169808816 162965518 169808816 169808816 10.1007/s10278-023-00821-0 169808816 ppf: 1643 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial Intelligence-driven Digital Cytology-based Cervical Cancer Screening: Is the Time Ripe to Adopt This Disruptive Technology in Resource-constrained Settings? A Literature Review. aug: au: Gupta, Ruchika Kumar, Neeta Bansal, Shivani Singh, Sompal Sood, Neelam Gupta, Sanjay affil: Division of Cytopathology, ICMR-National Institute of Cancer Prevention and Research, I-7, Sector-39, 201301, Noida, India sug: subj: Artificial Intelligence Utilization Cervical Smears, Automated Methods Cancer Screening Methods Cervix Neoplasms Diagnosis Digital Imaging Utilization Cytology Health Resource Utilization Early Detection of Cancer Female Sensitivity and Specificity Algorithms Microscopy, Virtual Female ab: Cervical cancer is still a public health scourge in the developing countries due to the lack of organized screening programs. Though liquid-based cytology methods improved the performance of cervical cytology, the interpretation still suffers from subjectivity. Artificial intelligence (AI) algorithms have offered objectivity leading to better sensitivity and specificity of cervical cancer screening. Whole slide imaging (WSI) that converts a glass slide to a virtual slide provides a new perspective to the application of AI, especially for cervical cytology. In the recent years, there have been a few studies employing various AI algorithms on WSI images of conventional or LBC smears and demonstrating differing sensitivity/specificity or accuracy at detection of abnormalities in cervical smears. Considering the interest in AI-based screening modalities, this well-timed review intends to summarize the progress in this field while highlighting the research gaps and providing future research directions. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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