THE USE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSIS BY MEDICAL IMAGES BASED ON THE DICOM STANDARD: A REVIEW (Atena Editora)

Abstract

INTRODUCTION: Digital Imaging and Communications in Medicine is a standard used in the storage, transmission and processing of medical images, making it possible to create large databases that can be used to develop neural networks. Artificial intelligence can be used to interpret and analyze medical images, aiding in diagnosis and facilitating clinical practice. OBJECTIVE: To analyze and evaluate how the use of the Digital Imaging and Communications in Medicine standard is being used in association with artificial intelligence techniques in medical images to assist in diagnosis and improve clinical practice. METHODS: This study carried out a literature review by searching the PUBMED and SCIELO databases, using the descriptors "DICOM", "artificial intelligence" and "medical imaging" for articles from the last 5 years, available in English and Portuguese. RESULTS: As a result, a table was presented with the 13 articles studied, structured according to the objective of the technology, the area of medicine impacted, the precision of artificial intelligence and the limitations of the methods researched. However, despite the good results achieved, there is still a need for greater accuracy in use, in addition to the need to expand the database. CONCLUSION: It is concluded that the constant advances in the development of technologies such as artificial intelligence for image interpretation and analysis bring very positive impacts. Furthermore, it must be noted that this innovation does not aim to replace the radiologist, but rather to improve the acquisition, quality, detection of lesions in images and standardize reports to increase the efficiency of their work. However, there needs to be an increase in databases so that the artificial intelligence developed becomes more effective and reliable for use in everyday life.