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Screenathon 2.0: Human–AI Collaborative Screening Applied to Patient-Generated Health Data

2026-01-09

Abstract excerpt

<p>Systematic reviews are essential for evidence-based research, yet the traditional screening process is time-consuming and difficult to scale. Human-only screening can introduce inconsistency, while fully automated approaches employing Large Language Models often lack the contextual judgement required for complex decisions. To address this, we introduce a crowd-based screening methodology that integrates human e...

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Literature Corpus work
8d962726-e52f-5151-9dc4-f4fbe904e753
DOI
10.31234/osf.io/e2qfj_v1
Open publication

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Screenathon 2.0: Human–AI Collaborative Screening Applied to Patient-Generated Health DataDOI 10.31234/osf.io/e2qfj_v1
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