Clinical AI tools must convey predictive uncertainty for each individual patient

IF 58.7 1区医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Nature Medicine Pub Date : 2023-10-11 DOI:10.1038/s41591-023-02562-7

Christopher R. S. Banerji, Tapabrata Chakraborti, Chris Harbron, Ben D. MacArthur

引用次数: 0

Abstract

Artificial intelligence tools usually aim to maximize predictive accuracy, but personalized measures of uncertainty, using new techniques such as conformal prediction, are needed for clinical artificial intelligence to realize its potential and improve human health.

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临床人工智能工具必须传达每个患者的预测不确定性。

人工智能工具通常以最大限度地提高预测准确性为目标，但临床人工智能要实现其潜力并改善人类健康，还需要使用保形预测等新技术对不确定性进行个性化测量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Medicine 医学-生化与分子生物学

CiteScore

100.90

自引率

0.70%

发文量

525

审稿时长

1 months

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