"Publish or Perish" Paradigm and Medical Research: Replication Crisis in the Context of Artificial Intelligence Trend.

IF 3 2区 医学 Q3 ENGINEERING, BIOMEDICAL Annals of Biomedical Engineering Pub Date : 2024-09-27 DOI:10.1007/s10439-024-03625-7
Obada Al-Leimon, Malik Eid Juweid
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Abstract

The "publish or perish" culture in academia has intensified trends in medical research, particularly around artificial intelligence (AI) and machine learning. This letter highlights how the pressure to publish positive findings during research trends, such as artificial intelligence in medicine, exacerbates the replication crisis. Issues like data leakage and lack of cross-institutional validation in AI models, particularly in clinical radiology, raise concerns about their reliability. The letter urges authors, reviewers, and editors to enforce rigorous standards to ensure reproducibility and safeguard the integrity of medical research.

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"发表或毁灭 "范式与医学研究:人工智能趋势下的复制危机。
学术界 "要么发表,要么毁灭 "的文化加剧了医学研究的趋势,尤其是围绕人工智能(AI)和机器学习的研究。这封信强调了在医学人工智能等研究趋势中发表积极研究成果的压力如何加剧了复制危机。人工智能模型的数据泄露和缺乏跨机构验证等问题,尤其是在临床放射学领域,引发了人们对其可靠性的担忧。这封信敦促作者、审稿人和编辑执行严格的标准,以确保可重复性,维护医学研究的完整性。
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来源期刊
Annals of Biomedical Engineering
Annals of Biomedical Engineering 工程技术-工程:生物医学
CiteScore
7.50
自引率
15.80%
发文量
212
审稿时长
3 months
期刊介绍: Annals of Biomedical Engineering is an official journal of the Biomedical Engineering Society, publishing original articles in the major fields of bioengineering and biomedical engineering. The Annals is an interdisciplinary and international journal with the aim to highlight integrated approaches to the solutions of biological and biomedical problems.
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