Assessment of knowledge and perception about Artificial Intelligence in uterine cervical cancer screening
Keywords:
INTELIGENCIA ARTIFICIAL, NEOPLASIAS DEL CUELLO UTERINO, SALUD PÚBLICA., TAMIZAJE MASIVO, DETECCIÓN PRECOZ DEL CÁNCERAbstract
Introduction: Cervical cancer is one of the leading causes of gynecological mortality in developing countries. Artificial intelligence (AI) has emerged as a promising technology for early screening and diagnosis, with the potential to improve accuracy and optimize healthcare system resources.
Objective: To determine the level of knowledge and perception regarding the use of artificial intelligence for cervical cancer screening among healthcare personnel in Panzaleo and Salcedo, Ecuador.
Methods: A descriptive, cross-sectional study was conducted. A structured questionnaire was administered to 90 healthcare professionals, selected from a population of 105. Response frequencies regarding detection methods, AI benefits, and knowledge of specific tools were analyzed.
Results: 55.56% of respondents considered that the main contribution of AI is to "improve diagnostic accuracy." However, only 40.00% stated they knew of specific AI tools, while a majority of 60.00% expressed uncertainty or lack of knowledge. To ensure the effectiveness of AI, 50.00% considered "continuous monitoring of its functionality and margin of error" to be essential.
Conclusions: Healthcare personnel exhibit a dual perception: they value the theoretical potential of AI to improve accuracy but possess limited practical knowledge of its application. The future adoption of these technologies is conditioned by the constant supervision of their performance. A critical gap is identified between positive perception and actual training, with the latter being the key factor for successful integration.
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