在诊断实践中推进自制人工智能:机遇和障碍†
Zaid H Khoury1, Ahmed S Sultan2,3,4
1Department of Oral Diagnostic Sciences & Research, School of Dentistry, Meharry Medical College, Nashville, TN, USA.
The Journal of pathology
|September 26, 2025
概括
自制的人工智能 (AI) 为诊断病理学的民主化提供了一条道路. 然而,广泛采用需要机构支持,数字基础设施和培训来克服实际挑战.
科学领域:
- 病理学 病理学 病理学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- "病理学杂志"最近发表了一篇关于在诊断病理学中整合自制人工智能 (AI) 模型的论点.
- 该方法是通过病理学部门的本地模型开发来民主化数字诊断的方法.
研究的目的:
- 批判性地检查与在病理学实践中采用家庭制造的人工智能相关的现实世界的影响,实际限制和未满足的需求.
- 概述在诊断病理学中广泛实施家制人工智能的机遇和挑战.
主要方法:
- 评论扩展了先前发表的论点,支持在病理学中自制人工智能.
- 批判性地检查实践方面和病理学家的需求.
主要成果:
- 自制人工智能为推进诊断病理学提供了机会.
- 存在重大挑战,包括需要机构支持,强大的数字基础设施和持续的培训努力.
结论:
- 自制人工智能在病理学中的成功整合取决于解决实际限制.
- 如果没有适当的机构支持和基础设施,家庭制造人工智能的潜在好处可能无法实现.
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