“Uso de inteligencia artificial en radiología. Revisión de la literatura”

Abstract

BACKGROUND: Radiology can be considered a branch of medicine strengthened by technological advances for detecting and treating some pathologies. At present, its relationship with artificial intelligence (AI) has enabled efficiency in the accuracy of radiographic studies, facilitating the professional in clinical practice to make decisions and improving the reading time, guaranteeing the diagnosis. OBJECTIVE: To learn through this literature review about using artificial intelligence in radiology and the different methods to detect pathologies. METHODOLOGY: A total of 50 articles were selected for this review, considering the importance of their high scientific value, validation, and update limit. Different scientific databases were used for the search: PubMed, ScienceDirect, Google Scholar, Scopus, and Elsevier, using the principles of exclusion and inclusion. RESULTS: The evolution of radiography and artificial intelligence has changed the current world of radiologists in medical care. These new ways of observing the results, validation, and diagnosis encourage constant preparation in the latest methods and advances developed within the clinical area. CONCLUSION: AI’S promising future requires further research to provide solid evidence against the changes that are developing within the clinical-radiological area.