Bibliographic Details
| Title: |
Implementation of artificial intelligence in thoracic imaging—a what, how, and why guide from the European Society of Thoracic Imaging (ESTI). |
| Authors: |
Gleeson, Fergus, Revel, Marie-Pierre, Biederer, Jürgen, Larici, Anna Rita, Martini, Katharina, Frauenfelder, Thomas, Screaton, Nicholas, Prosch, Helmut, Snoeckx, Annemiek, Sverzellati, Nicola, Ghaye, Benoit, Parkar, Anagha P. |
| Source: |
European Radiology; Jul2023, Vol. 33 Issue 7, p5077-5086, 10p, 1 Color Photograph, 1 Diagram, 1 Chart |
| Subject Terms: |
ARTIFICIAL intelligence, FINANCIAL planning, BUSINESS planning, RADIOLOGISTS, QUALITY assurance |
| Abstract: |
This statement from the European Society of Thoracic imaging (ESTI) explains and summarises the essentials for understanding and implementing Artificial intelligence (AI) in clinical practice in thoracic radiology departments. This document discusses the current AI scientific evidence in thoracic imaging, its potential clinical utility, implementation and costs, training requirements and validation, its' effect on the training of new radiologists, post-implementation issues, and medico-legal and ethical issues. All these issues have to be addressed and overcome, for AI to become implemented clinically in thoracic radiology. Key Points: • Assessing the datasets used for training and validation of the AI system is essential. • A departmental strategy and business plan which includes continuing quality assurance of AI system and a sustainable financial plan is important for successful implementation. • Awareness of the negative effect on training of new radiologists is vital. [ABSTRACT FROM AUTHOR] |
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Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
