ReviewCancer biology & medicine2024
Artificial intelligence strengthens cervical cancer screening - present and future.
Review in Cancer biology & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed.
- Applying an AI Decision Support Device During Cervical Cancer Screening in Bangladesh and Uganda: Implementation Study.JMIR formative research · 2026Trial
- Implementation and impact of primary HPV testing in cervical cancer screening: Historical perspectives and institutional experience at a large academic medical center.Cancer cytopathology · 2026Review
- AI-assisted Radiomic Model for Cervical Cancer Recurrence Prediction: A Multicenter Retrospective Study with Experimental Validation.Radiology. Imaging cancer · 2026Article
- Selenium-Based Nanoplatforms: An Emerging Theranostic Paradigm for Gynecological Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Transforming Biobanking with AI: Perspectives from Leading Experts.Biopreservation and biobanking · 2026Article
- Additional Diagnostic Yield of Endocervical Curettage in Type 3 Transformation Zone for High-Grade Cervical Lesions: A Retrospective Analysis by Human Papillomavirus Genotype.Diagnostics (Basel, Switzerland) · 2026Article
- From evidence to action: the IARC's role in strengthening cancer prevention and early detection.Journal of the National Cancer Institute. Monographs · 2026Review
- Factors Influencing Universal Coverage of AI-Assisted Cervical Cancer Screening: Qualitative Study Based on the Macro Model of Health System.Journal of medical Internet research · 2026Article
- AI for breast cancer screening.Nature cancer · 2026Article
- Artificial intelligence for colposcopic and cytological image analysis in early cervical cancer detection.iScience · 2026Review
- Therapeutic Landscape of HPV-Associated Cancers: From Mechanisms and Conventional Approaches to Future Innovations.Cancers · 2026Review
- Clinical utility of an optoelectronic imaging tracing system for diagnosis of high-grade cervical lesions.Frontiers in oncology · 2026Article
- Concordance of AI-Assisted and Hybrid AI-Assisted Cervical Imaging Systems with Visual Inspection with Acetic Acid for Cervical Precancer Screening in West Bandung, Indonesia.International journal of women's health · 2026Article
- Integrating Biomarkers into Cervical Cancer Screening-Advances in Diagnosis and Risk Prediction: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Accelerating the elimination of global cervical cancer through intelligent training for colposcopy.Cancer biology & medicine · 2025Article
- AI-Driven predictive modeling of cervical intraepithelial neoplasia severity: a comprehensive analysis with clinical adoption frameworks.BMC cancer · 2025Article
- Review
- Progress toward cervical cancer elimination: global disparities and China's contributions.Cancer biology & medicine · 2025Article
- AI in Cervical Cancer Cytology Diagnostics: A Narrative Review of Cutting-Edge Studies.Bioengineering (Basel, Switzerland) · 2025Review
- Machine and Deep Learning for the Diagnosis, Prognosis, and Treatment of Cervical Cancer: A Scoping Review.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Cervical cancer is a severe threat to women's health. The majority of cervical cancer cases occur in developing countries. The WHO has proposed screening 70% of women with high-performance tests between 35 and 45 years of age by 2030 to accelerate the elimination of cervical cancer. Due to an inadequate health infrastructure and organized screening strategy, most low- and middle-income countries are still far from achieving this goal. As part of the efforts to increase performance of cervical cancer screening, it is necessary to investigate the most accurate, efficient, and effective methods and strategies. Artificial intelligence (AI) is rapidly expanding its application in cancer screening and diagnosis and deep learning algorithms have offered human-like interpretation capabilities on various medical images. AI will soon have a more significant role in improving the implementation of cervical cancer screening, management, and follow-up. This review aims to report the state of AI with respect to cervical cancer screening. We discuss the primary AI applications and development of AI technology for image recognition applied to detection of abnormal cytology and cervical neoplastic diseases, as well as the challenges that we anticipate in the future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.