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Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review.

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Title: Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review.
Authors: Liu, Yushu1,2 (AUTHOR), Liu, Chenxi1,2 (AUTHOR) liu_chenxi@hust.edu.cn, Zheng, Jianing1,2 (AUTHOR), Xu, Chang3 (AUTHOR), Wang, Dan4,5,6 (AUTHOR)
Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-22. 22p.
Database: Academic Search Ultimate
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An: 190701217
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PubType: Academic Journal
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  Data: Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2025, Vol. 27, p1-22. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190701217
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        Value: 10.2196/73374
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review.
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            NameFull: Liu, Yushu
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            NameFull: Liu, Chenxi
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            NameFull: Zheng, Jianing
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            NameFull: Xu, Chang
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            – D: 01
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              Text: 2025
              Type: published
              Y: 2025
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              Value: 27
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            – TitleFull: Journal of Medical Internet Research
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