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Revisiting AI Interpretability in Precision Oncology: Why Predictive Accuracy Does Not Ensure Stable Feature Importance.

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Title: Revisiting AI Interpretability in Precision Oncology: Why Predictive Accuracy Does Not Ensure Stable Feature Importance.
Authors: Oka, Souichi1 (AUTHOR) souichi.oka@sciencepark.co.jp, Takefuji, Yoshiyasu2 (AUTHOR)
Source: Cancers. Feb2026, Vol. 18 Issue 4, p593. 14p.
Database: Academic Search Ultimate
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  Data: Revisiting AI Interpretability in Precision Oncology: Why Predictive Accuracy Does Not Ensure Stable Feature Importance.
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  Data: <searchLink fieldCode="AR" term="%22Oka%2C+Souichi%22">Oka, Souichi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> souichi.oka@sciencepark.co.jp</i><br /><searchLink fieldCode="AR" term="%22Takefuji%2C+Yoshiyasu%22">Takefuji, Yoshiyasu</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Cancers%22">Cancers</searchLink>. Feb2026, Vol. 18 Issue 4, p593. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191975607
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        Value: 10.3390/cancers18040593
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        Text: English
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      – TitleFull: Revisiting AI Interpretability in Precision Oncology: Why Predictive Accuracy Does Not Ensure Stable Feature Importance.
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              Text: Feb2026
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