WEKO3
アイテム
Reducing echocardiographic examination time through routine use of fully automated software : a comparative study of measurement and report creation time
https://tokushima-u.repo.nii.ac.jp/records/2011691
https://tokushima-u.repo.nii.ac.jp/records/2011691aca9ec3d-7df2-4a44-ab07-5645e3dec2f8
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jech_22_3_162.pdf (818 KB)
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| 公開日 | 2024-02-21 | |||||||||||||||||||||||||||||||||||
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| アクセス権 | open access | |||||||||||||||||||||||||||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||||||||||||||||||||||||||
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| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||||||||||||||||||
| 出版社版DOI | ||||||||||||||||||||||||||||||||||||
| 関連識別子 | https://doi.org/10.1007/s12574-023-00636-6 | |||||||||||||||||||||||||||||||||||
| 関連名称 | 10.1007/s12574-023-00636-6 | |||||||||||||||||||||||||||||||||||
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| 出版タイプ | VoR | |||||||||||||||||||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||||||||||||||||||
| タイトル | ||||||||||||||||||||||||||||||||||||
| タイトル | Reducing echocardiographic examination time through routine use of fully automated software : a comparative study of measurement and report creation time | |||||||||||||||||||||||||||||||||||
| 著者 |
ヒラタ, ユキナ
× ヒラタ, ユキナ
× ノムラ, ユカ
× 西條, 良仁
WEKO
1437
× 佐田, 政隆
WEKO
309
× 楠瀬, 賢也
WEKO
231
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| 内容記述 | Background Manual interpretation of echocardiographic data is time-consuming and operator-dependent. With the advent of artificial intelligence (AI), there is a growing interest in its potential to streamline echocardiographic interpretation and reduce variability. This study aimed to compare the time taken for measurements by AI to that by human experts after converting the acquired dynamic images into DICOM data. Methods Twenty-three consecutive patients were examined by a single operator, with varying image quality and different medical conditions. Echocardiographic parameters were independently evaluated by human expert using the manual method and the fully automated US2.ai software. The automated processes facilitated by the US2.ai software encompass real-time processing of 2D and Doppler data, measurement of clinically important variables (such as LV function and geometry), automated parameter assessment, and report generation with findings and comments aligned with guidelines. We assessed the duration required for echocardiographic measurements and report creation. Results The AI significantly reduced the measurement time compared to the manual method (159 ± 66 vs. 325 ± 94 s, p < 0.01). In the report creation step, AI was also significantly faster compared to the manual method (71 ± 39 vs. 429 ± 128 s, p < 0.01). The incorporation of AI into echocardiographic analysis led to a 70% reduction in measurement and report creation time compared to manual methods. In cases with fair or poor image quality, AI required more corrections and extended measurement time than in cases of good image quality. Report creation time was longer in cases with increased report complexity due to human confirmation of AI-generated findings. Conclusions This fully automated software has the potential to serve as an efficient tool for echocardiographic analysis, offering results that enhance clinical workflow by providing rapid, zero-click reports, thereby adding significant value. |
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| キーワード | ||||||||||||||||||||||||||||||||||||
| 主題 | Echocardiography | |||||||||||||||||||||||||||||||||||
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| 主題 | Artificial intelligence | |||||||||||||||||||||||||||||||||||
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| 主題 | Deep learning | |||||||||||||||||||||||||||||||||||
| 書誌情報 |
en : Journal of Echocardiography 巻 22, 号 3, p. 162-170, 発行日 2024-02-03 |
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| 収録物識別子タイプ | ISSN | |||||||||||||||||||||||||||||||||||
| 収録物識別子 | 13490222 | |||||||||||||||||||||||||||||||||||
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| 収録物識別子タイプ | ISSN | |||||||||||||||||||||||||||||||||||
| 収録物識別子 | 1880344X | |||||||||||||||||||||||||||||||||||
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| 収録物識別子タイプ | NCID | |||||||||||||||||||||||||||||||||||
| 収録物識別子 | AA12042477 | |||||||||||||||||||||||||||||||||||
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| 出版者 | Japanese Society of Echocardiography | |||||||||||||||||||||||||||||||||||
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| 出版者 | Springer Nature | |||||||||||||||||||||||||||||||||||
| 権利情報 | ||||||||||||||||||||||||||||||||||||
| 権利情報 | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | |||||||||||||||||||||||||||||||||||
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| 識別子 | 405021 | |||||||||||||||||||||||||||||||||||
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| 言語 | eng | |||||||||||||||||||||||||||||||||||
