Article

Protocol for an Evaluation of Colorectal Cancer Risk Prediction AI-Models in an Emulated Primary Care Electronic Health Record Environment: A Multimethod Feasibility Study on Diagnostic Decision-Making, Usability, and Trust

2026-06-18

Abstract excerpt

<title>Abstract</title> <p>Background Colorectal cancer (CRC) is one of the most frequently missed cancer diagnoses in primary care. Artificial intelligence (AI)-based prediction tools may support earlier detection, but their influence on general practitioners’ (GPs) diagnostic reasoning and decision-making has not been thoroughly evaluated. Feasibility studies are recommended prior to large-scale cluster-random...

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Literature Corpus work: 1e3725fd-85f9-53e2-915e-6571888c05c3
DOI: 10.21203/rs.3.rs-8977174/v1

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Protocol for an Evaluation of Colorectal Cancer Risk Prediction AI-Models in an Emulated Primary Care Electronic Health Record Environment: A Multimethod Feasibility Study on Diagnostic Decision-Making, Usability, and TrustDOI 10.21203/rs.3.rs-8977174/v1Read

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