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	<title>road traffic crashes &#8211; BIOENGINEER.ORG</title>
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		<title>Decade of Data: How Explainable AI Is Cracking Open the Black Box of Crash Severity Prediction</title>
		<link>https://bioengineer.org/decade-of-data-how-explainable-ai-is-cracking-open-the-black-box-of-crash-severity-prediction/</link>
		
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		<pubDate>Sun, 04 Oct 2026 20:06:31 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[crash severity prediction]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[LIME]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Random Forest]]></category>
		<category><![CDATA[road safety]]></category>
		<category><![CDATA[road traffic crashes]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[systematic review]]></category>
		<category><![CDATA[XGBoost]]></category>
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					<description><![CDATA[A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME are making machine learning crash severity predictions transparent for road safety decision-makers.]]></description>
		
		
		
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