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Structured Reporting in Medical Imaging: The Role of Artificial Intelligence

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Artificial Intelligence in Cardiothoracic Imaging

Abstract

Structured reporting has recently emerged as a major innovation within radiology. It has been shown to improve overall report quality in multiple ways. Specifically, within cardiothoracic imaging, there are several notable structured reporting systems that include Lung Reporting and Data System (Lung-RADS), Coronary Artery Disease Reporting and Data System (CAD-RADS), Thyroid Imaging Reporting and Data System (TI-RADS), Interstitial Lung Disease Reporting and Data System (ILD-RADS), and COVID-19 Reporting and Data System (CO-RADS). These systems serve to standardize reporting and recommendations for management of abnormal imaging findings. Multiple machine learning algorithms have been developed to work in conjunction with these reporting systems. The training of machine learning algorithms requires enormous amounts of data, and structured reports can be a great source for data mining. Structured reporting is an invaluable platform for the emerging integration of artificial intelligence (AI) in medical imaging.

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Correspondence to Peter D. Filev .

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Filev, P.D., Stillman, A.E. (2022). Structured Reporting in Medical Imaging: The Role of Artificial Intelligence. In: De Cecco, C.N., van Assen, M., Leiner, T. (eds) Artificial Intelligence in Cardiothoracic Imaging. Contemporary Medical Imaging. Humana, Cham. https://doi.org/10.1007/978-3-030-92087-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-92087-6_10

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  • Publisher Name: Humana, Cham

  • Print ISBN: 978-3-030-92086-9

  • Online ISBN: 978-3-030-92087-6

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