Abstract

TENAJAS, Rebeca  and  MIRAUT, David. The Technological Renaissance of Radiology: The Open Source Revolution and Artificial Intelligence. RCIM [online]. 2023, vol.15, n.2  Epub Dec 01, 2023. ISSN 1684-1859.

The field of radiology has seen notable advances in recent decades, with developments ranging from image quality improvement and digitization to computer-aided detection.

Particularly, the emergence of Artificial Intelligence techniques based on Deep Learning and Computer Vision have promoted innovative solutions in diagnosis and radiological analysis. This article explores the relevance of open source developments and models in the progress of these techniques, highlighting the impact that collaboration and open access have had on the scientific advancement in this field. This research has a qualitative approach, with a descriptive, retrospective, longitudinal scope. A documentary analysis of the evolution and impact of open source in Radiology was carried out, highlighting multidisciplinary collaboration. Use cases, advantages, challenges and ethical considerations were also examined in relation to the implementation of AI-based solutions in Radiology.

The Open Source approach has been shown to be a positive influence in Radiology, with the potential to influence medical care, offering more precise and accessible solutions. However, there are ethical and technical challenges that require attention.

Keywords : radiology; deep learning; open source; software development; diagnostic imaging; medical ethics; diffusion of innovation.

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