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Journal Articles Diagnostic and Interventional Imaging Year : 2023

Artificial intelligence in diagnostic and interventional radiology: Where are we now?

Abstract

The emergence of massively parallel yet affordable computing devices has been a game changer for research in the field of artificial intelligence (AI). In addition, dramatic investment from the web giants has fostered the development of a high-quality software stack. Going forward, the combination of faster computers with dedicated software libraries and the widespread availability of data has opened the door to more flexibility in the design of AI models. Radiomics is a process used to discover new imaging biomarkers that has multiple applications in radiology and can be used in conjunction with AI. AI can be used throughout the various processes of diagnostic imaging, including data acquisition, reconstruction, analysis and reporting. Today, the concept of "AI-augmented" radiologists is preferred to the theory of the replacement of radiologists by AI in many indications. Current evidence bolsters the assumption that AI-assisted radiologists work better and faster. Inte
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Dates and versions

hal-03949288 , version 1 (20-01-2023)

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Tom Boeken, Jean Feydy, Augustin Lecler, Philippe Soyer, Antoine Feydy, et al.. Artificial intelligence in diagnostic and interventional radiology: Where are we now?. Diagnostic and Interventional Imaging, 2023, 104 (1), pp.1-5. ⟨10.1016/j.diii.2022.11.004⟩. ⟨hal-03949288⟩
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