探索人工智能支持的肿瘤药物警戒真实世界数据收集的复杂性。

IF 3.3 Q2 ONCOLOGY
Jack Gallifant, Leo Anthony Celi, Elad Sharon, Danielle S Bitterman
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引用次数: 0

摘要

这篇新社论讨论了将自然语言处理方法成功整合到电子健康记录中以实现及时、稳健和公平的肿瘤药物警戒所带来的希望和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance.

This new editorial discusses the promise and challenges of successful integration of natural language processing methods into electronic health records for timely, robust, and fair oncology pharmacovigilance.

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来源期刊
CiteScore
6.20
自引率
4.80%
发文量
190
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