Article

Automated de-identification of linguistically-diverse clinical narratives: a retrospective, multi-agent AI framework development and validation study in a global health surveillance network

2026-05-27

Abstract excerpt

<title>Abstract</title> <p>Background: A key barrier to text-based health data sharing from low- and middle-income countries (LMICs) is the lack of de-identification tools that generalize to geographically diverse linguistic characteristics and documentation practices. This paucity of data exacerbates the global digital divide, limiting the development of artificial intelligence (AI) tools that generalize beyond...

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Literature Corpus work: 8991ca2e-88c0-598a-b2c9-8e85162d0464
DOI: 10.21203/rs.3.rs-9578929/v1

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