"发表或灭亡"范式和医学研究:人工智能趋势背景下的复制危机
Obada Al-Leimon1, Malik Eid Juweid2
1The University of Jordan School of Medicine, Amman, 11942, Jordan. obada-nayef@outlook.com.
Annals of biomedical engineering
|September 27, 2024
概括
发表积极发现的学术压力,特别是医学人工智能 (AI) 的研究,使研究的可重复性恶化. 严格的标准对于可靠的AI医学研究和对抗复制危机至关重要.
科学领域:
- 医学研究 医学研究
- 人工智能的人工智能是人工智能.
- 机器学习 机器学习
背景情况:
- 这是一个很棒的节目,这是一个很棒的节目.
- 发表或灭亡 发表或灭亡
- 学术文化加剧了医学研究的趋势,特别是人工智能和机器学习.
- 发表积极发现的压力加剧了AI在医学中的复制危机.
- 人工智能模型在临床放射学中的可靠性存在担忧,原因是数据泄露和缺乏跨机构验证.
研究的目的:
- 要突出如何在AI医学研究中发表积极发现的压力加剧了复制危机.
- 解决有关AI模型在医学中的可靠性的担忧.
- 倡导医学研究出版的严格标准.
主要方法:
- 这是一封概念性的信,而不是经验研究.
- 它分析了医学研究的趋势,专注于人工智能和机器学习.
- 它讨论了导致复制危机的问题.
主要成果:
- 在AI医学研究中发表积极结果的压力加剧了复制危机.
- 数据泄露和人工智能模型的跨机构验证不足,特别是在临床放射学中,损害了可靠性.
- 缺乏可复制性是一个重大问题.
结论:
- 作者,评论员和编辑必须执行严格的可复制性标准.
- 确保医学研究的完整性需要解决出版压力和方法严格性.
- 促进透明和验证的人工智能研究对于可靠的医学进步至关重要.
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