Research examines automated de-identification of clinical texts using large language models, suggesting innovative strategies for healthcare data privacy.
Introduction: The anonymization of clinical texts remains an ongoing challenge for enabling secondary use of healthcare data. With the increasing capabilities of large language models (LLMs) like ChatGPT-4.0, new opportunities arise for automating de-identification tasks [ref:1], [ref:2]. [for full text, please go to the a.m. URL]
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Wolfien et al. (2026) studied this question.
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