APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE EARLY DIAGNOSIS OF CERVICAL CANCER
Vol. 6 No. 5 (2026) 148-153
Abstract
Cervical cancer remains one of the most common oncological diseases among women worldwide. Early diagnosis plays an important role in reducing mortality and improving treatment effectiveness. In recent years, artificial intelligence has been actively introduced into medical practice, including the diagnosis of cervical diseases. Modern machine learning algorithms and neural network technologies make it possible to analyze cytological smears, colposcopic images, and HPV test results with high accuracy. The use of artificial intelligence helps accelerate the diagnostic process, reduce medical errors, and improve the quality of screening programs. This article discusses the modern possibilities of artificial intelligence in the early diagnosis of cervical cancer, its advantages, limitations, and future prospects in clinical practice.
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References
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