Advancing Cervical Cancer Management with Artificial Intelligence Current Perspectives and Future Trends

Background: The field of cervical cancer care has been revolutionized by artificialintelligence (AI), enabling advanced analysis of imaging and multi-omics data, and leadingto more accurate diagnosis, improved prediction of patient outcomes, and support forpersonalized treatments.Procedure: This systematic review complies with the Preferred Reporting Items forSystematic Reviews and Meta-Analyses (PRISMA) and uses the PRISMA checklist. Acomprehensive literature search was conducted using the databases of Web of Science,Scopus, IEEE, and PubMed to identify the characteristics of studies published between 2021and 2026. Published literature were assessed for eligibility as long-form (original andreview articles) relating to AI use for screening, diagnosis, prognosis, radiomics, pathology,and clinical decision support in relation to cervical cancer. All data synthesized werequalitative.Results: AI-based models enable accurate identification and classification of cervicalneoplasia. They also facilitate earlier diagnosis through automated feature extraction fromimaging. AI-assisted frameworks are beginning to support the development of precisionmedicine treatments tailored to individuals.Discussion: The clinical translation of AI into practice faces challenges such as dataheterogeneity, insufficient external validation, and a lack of model interpretability. Toaddress these, creating standardized datasets and developing interdisciplinarycollaborations will enhance AI adoption in clinical practice. Conclusion: There is substantial potential for AI to provide improved cervical cancer care.Future initiatives to facilitate this include creating well-validated, standardized datasets andclinically interpretable models to ensure the successful implementation of AI in practice inthe real world.