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Real-time prospective (shadow mode) validation of an AI-based clinical decision support system for predicting 3-month functional outcome in acute stroke: the VALIDATE study protocol

2026-04-27

Abstract excerpt

<h4>Introduction</h4> Despite the proven benefits of reperfusion therapies in acute ischemic stroke, treatment decisions in the hyperacute phase remain complex and are rarely supported by individualized outcome predictions. Artificial intelligence (AI)-based clinical decision support systems (CDSS) offer potential real-time prognostic estimates, but prospective evidence of their feasibility and performance in rou...

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Literature Corpus work
5942e81a-0159-52ca-becc-01e17d744490
DOI
10.64898/2026.04.26.26350937
Open publication

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Real-time prospective (shadow mode) validation of an AI-based clinical decision support system for predicting 3-month functional outcome in acute stroke: the VALIDATE study protocolDOI 10.64898/2026.04.26.26350937
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