Nihon Kikan Shokudoka Gakkai Kaiho
Online ISSN : 1880-6848
Print ISSN : 0029-0645
ISSN-L : 0029-0645
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Clinical Application of Artificial Intelligence in Radiologic Imaging at Our Institution: Focusing on Thoracic Imaging
Yoshihiko UtsunoYasuyuki Kurihara
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2025 Volume 76 Issue 5 Pages 269-274

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Abstract

In the field of imaging diagnosis, AI-assisted diagnostic support systems have been introduced to enhance diagnostic accuracy and improve workflow efficiency. This paper presents the utilization of AI in chest imaging at our institution. For chest radiographs, we have implemented ClearRead XR and CTR-AID, while for CT imaging, we use ClearRead CT-VS and SYNAPSE SAI viewer. These software solutions contribute to lesion detection and diagnostic efficiency. Although AI usage may introduce biases, understanding the characteristics of each software and utilizing them appropriately enables AI to function as a valuable diagnostic support tool.

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© 2025 by The Japan Broncho-esophagological Society
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