The Fallacy of Categorization in Urology: A Call for Continuous Thinking in the Era of Artificial Intelligence.

IF 8.3 1区医学 Q1 ONCOLOGY European urology oncology Pub Date : 2024-12-27 DOI:10.1016/j.euo.2024.12.010

Georges Mjaess, Romain Diamand, Thierry Roumeguère

引用次数: 0

Abstract

Categorization of patients according to their characteristics may simplify decision-making, but it fails to account for the continuous nature of risk and individual variability. Artificial intelligence has the ability to handle more complex continuous data for more precise, individualized recommendations, but several challenges must be overcome to unlock this potential.

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泌尿外科的分类谬误：人工智能时代对持续思考的呼唤。

根据患者的特征进行分类可能会简化决策，但它无法解释风险的连续性和个体可变性。人工智能有能力处理更复杂的连续数据，以获得更精确、更个性化的建议，但要释放这一潜力，必须克服几个挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European urology oncology Multiple-

CiteScore

15.50

自引率

2.40%

发文量

128

审稿时长

20 days

期刊介绍： Journal Name: European Urology Oncology Affiliation: Official Journal of the European Association of Urology Focus: First official publication of the EAU fully devoted to the study of genitourinary malignancies Aims to deliver high-quality research Content: Includes original articles, opinion piece editorials, and invited reviews Covers clinical, basic, and translational research Publication Frequency: Six times a year in electronic format

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