Use of artificial intelligence in the diagnosis of cervical alterations
Keywords:
inteligencia artificial, cáncer cervical, lesiones premalignas, diagnóstico precoz, aprendizaje automáticoAbstract
The development of artificial intelligence (AI)-based technologies has revolutionised the diagnostic approach to gynecological diseases, particularly cervical cancer. Trough the analysis of machine learning algorithms and neural networks applied to cytology, colposcopy and digitized Pap smear images, the literature reveals a significant improvement in diagnostic accuracy, minimizing human error and enhancing screening efficiency in high-risk populations. The objective of this research consists in to describe the state of the art of the use of artificial intelligence in the diagnosis of cervical alterations. This article is developed as a systematic review on the application of artificial intelligence (AI) for the detection of premalignant cervical cancer lesions; the methodology used is structured under the principles of PRISMA, with a mixed approach, combining qualitative analysis of relevant scientific studies with quantitative synthesis of results on the efficacy of AI in the early diagnosis of premalignant lesions. It concludes that AI is a promising tool to strengthen cervical cancer prevention programs.Downloads
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