Correction to “Evaluating Artificial Intelligence and Traditional Learning Tools for Chest X-Ray Interpretation: A Descriptive Study”

IF 1.2 Q4 MEDICINE, RESEARCH & EXPERIMENTAL

Clinical Teacher Pub Date : 2025-08-03 DOI:10.1111/tct.70169

引用次数: 0

Abstract

G. Samra, V. Ramoutar, K. Chen, Chaudhry, M, Patel, H, Bird, T, Rodwell, V., Evaluating Artificial Intelligence and Traditional Learning Tools for Chest X-Ray Interpretation: A Descriptive Study, Clinical Teacher 22, no. 4 (2025): e70139, https://doi.org/10.1111/tct.70139.

In Section 3: Evaluation, the study was approved by the Institution's Ethics Committee (University of Leicester).

Preclinical medical students from University of Leicester were invited to participate voluntarily.

We apologize for this error.

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对“评估人工智能和传统学习工具用于胸部x射线解释：一项描述性研究”的更正

G. Samra， V. Ramoutar， K. Chen, Chaudhry， M, Patel， H, Bird， T, Rodwell， V.，评估人工智能和传统学习工具在胸部x射线解释中的应用：一项描述性研究，临床教师22，no。4 (2025): e70139, https://doi.org/10.1111/tct.70139。在第三部分：评估中，该研究得到了该机构伦理委员会（莱斯特大学）的批准。邀请莱斯特大学的临床基础医学院学生自愿参与。我们为这个错误道歉。

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

Clinical Teacher MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

2.90

自引率

5.60%

发文量

113

期刊介绍： The Clinical Teacher has been designed with the active, practising clinician in mind. It aims to provide a digest of current research, practice and thinking in medical education presented in a readable, stimulating and practical style. The journal includes sections for reviews of the literature relating to clinical teaching bringing authoritative views on the latest thinking about modern teaching. There are also sections on specific teaching approaches, a digest of the latest research published in Medical Education and other teaching journals, reports of initiatives and advances in thinking and practical teaching from around the world, and expert community and discussion on challenging and controversial issues in today"s clinical education.