The impact of artificial intelligence on radiography as a profession: A narrative review
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BACKGROUND AND PURPOSE: Artificial intelligence (AI) algorithms, particularly deep learning, have made significant strides in image recognition and classification, providing remarkable diagnostic accuracy to various diseases. This domain of AI has been the focus of many research papers as it directly relates to the roles and responsibilities of a radiologist. However, discussions on the impact of such technology on the radiography profession are often overlooked. To address this gap in the literature, this paper aims to address the application of AI in radiography and how AI's rapid emergence into healthcare is impacting not only standard radiographic protocols but the role of the radiographic technologist as well. METHODS: A review of the literature on AI and radiography was performed, using databases within PubMed, Google Scholar, and ScienceDirect. Video presentations from YouTube were also utilized to weigh the varying opinions of world leaders at the fore of artificial intelligence. RESULTS: AI can augment routine standard radiographic protocols. It can automatically ensure optimal patient positioning within the gantry as well as automate image processing. As AI technologies continue to emerge in diagnostic imaging, practicing radiologic technologists are urged to achieve threshold computational and technical literacy to operate AI-driven imaging technology. CONCLUSION: There are many applications of AI in radiography including acquisition and image processing. In the near future, it will be important to supply the demand for radiographers skilled in AI-driven technologies.
