Cervical cancer screening from the perspective of a family doctor
Literature review
DOI:
https://doi.org/10.18370/2309-4117.2026.82.60-64Keywords:
human papillomavirus, cervical cancer prevention, cervical screening, organizational and functional model, family physician, general practitioner-family medicine, artificial intelligence, liquid-based cytologyAbstract
Objective of the review: to determine the role of the family physician in the prevention of cervical cancer and to assess potential barriers and prospects for this role; to examine the possibilities of integrating artificial intelligence into the evaluation of liquid-based cytology results; and to assess the potential effects of implementing innovative technologies in cervical screening methods.
Materials and methods. Bibliographic-semantic and analytical methods were applied. The search for relevant sources was conducted in international scientometric databases (PubMed, Scopus, Web of Science, DOAJ) covering publications from 2016 to 2026.
Analysis of literature data. Most women in target groups eligible for cervical screening have a general awareness of human papillomavirus but underestimate its leading role in the development of cervical cancer. As a result, they tend to avoid participation in screening programs for various reasons (logistical, communicational, financial, etc.). An additional factor is insufficient awareness and limited engagement of physicians regarding the possibilities of addressing these barriers. Among the competencies of the family physician (and primary care in general), proactive monitoring and organization of priority target groups are particularly important.
It is also worth noting that the possibility of patient self-sampling significantly facilitates the screening process and increases coverage. Another important aspect is the quality of laboratory diagnostics. There is evidence of a higher frequency of errors due to specialist fatigue resulting from a large volume of repetitive work. Given the rapid development of artificial intelligence, which has achieved a high level of accuracy in the analysis of typical visual patterns, it becomes possible to involve specialists primarily in ambiguous or complex cases, thereby improving the overall quality of diagnostics.
Conclusions. The development and implementation of an effective organizational and functional model of primary healthcare (especially involving general practitioners – family physicians) should be a priority under conditions of limited healthcare resources. This will make it possible to increase coverage, improve population adherence to preventive care, and enhance the credibility of healthcare professionals. This, however, will not be possible without adequate education (including training in communication and social interaction) of healthcare providers. The integration of artificial intelligence with liquid-based cytology reduces the risk of missing precancerous conditions, improves the quality of results, and builds trust in screening outcomes not only among women but also within the population as a whole.
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