ColpoTool: Una herramienta basada en inteligencia artificial para evaluar los pacientes con riesgo de cáncer cervical

Abstract

Abstract: Cervical cancer is one of the leading causes of death among women worldwide, particularly in low-resource countries. This disease is caused by the presence of the human papillomavirus (HPV) in the uterine walls and can be treated if detected early. However, traditional detection methods, such as cytology and colposcopy, rely solely on the specialist's experience and judgment, which can lead to varying and sometimes inaccurate diagnoses. We present ColpoTool, an artificial intelligence tool designed to assist in the analysis of colposcopic images and clinical data. It leverages neural networks and machine learning models to segment and classify images using the Swede score scale to evaluate cervical lesion risks and analyze risk factors associated with the patient's clinical data.