Uso de la inteligencia artificial en detección temprana de cáncer colorrectal

Abstract

This research explored the applicability of artificial intelligence (AI) in detecting colorectal cancer (CRC), considering that AI belongs to the field of computer science dedicated to developing systems and programs capable of simulating human cognitive activities to perform tasks autonomously and efficiently, especially in the field of medicine. Advances in AI are significantly growing in the field of digestive endoscopy and subcategories such as deep learning and neural networks, thus substantially contributing to the diagnosis of gastrointestinal diseases. These technological advances are envisioned as a potential virtual aid during real-time colonoscopy, improving the identification of adenomas. In the gastroenterology field, AI software has been integrated to enhance the automatic detection of polyps and their classification as a preventive method for CRC. It is concluded that the incorporation of AI in the early diagnosis of colorectal cancer has proven to be a promising tool to improve diagnostic accuracy, increase the detection rate of premalignant lesions, and reduce the risk of missing polyps during colonoscopy. Furthermore, advances in AI and machine learning technologies in the field of medicine, specifically in the early detection of CRC, expose new possibilities for personalized medicine and individualized patient care, contributing significantly to improving the quality of life and the survival of those affected.