Diagn Interv Imaging . 2020 Dec 2;S2211-5684(20)30292-8. doi: 10.1016/j.diii.2020.11.003. Online ahead of print.
Thibaut Jacques, Laure Fournier, Marc Zins, Catherine Adamsbaum, Kathia Chaumoitre, Antoine Feydy, Ingrid Millet, Michel Montaudon, Jean-Paul Beregi, Jean-Michel Bartoli, Philippe Cart, Jean-Philippe Masson, Jean-François Meder, Louis Boyer, Anne Cotten
Artificial intelligence (AI) tools for supporting medical decisions are developing rapidly [1] and some of them are beginning to be deployed in clinical practice. The French radiology community strongly believes these AI-based tools will play a major role in all phases of the medical process, from assistance in planning the investigation and accessing patient records, to optimisation of the technical investigation parameters and of image quality, help in detecting and characterising the lesions; and improvements in patient monitoring, assessing spread, evaluating the prognosis, and communicating the findings [2]. It is however crucial that ethical principles, the safety of patients and confidentiality of their data, compliance with regulatory standards, and close monitoring of AI software receive constant attention. These tools should be developed in full consultation with radiologists in order to achieve a true improvement in the quality of care [2], [3], [4], [5].
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