Article

A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records

2026-07-19

Abstract excerpt

<h4>Objective</h4> To develop and evaluate a framework for human-AI interaction. This approach, SHARE (Synergistic Human-Agent REasoning system) was designed to support scalable phenotyping of complex outcomes accurately, robustly and reproducibly from real-world electronic health record (EHR) data to support real-world evidence (RWE) generation. <h4>Methods and Analysis</h4> Using rheumatoid arthritis (RA) dise...

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Literature Corpus work: a3933870-7751-5bd5-a2fb-293dd2a1a75c
DOI: 10.64898/2026.07.16.26358271

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