在科学文献中评估人工智能成像模型的实用指南
Angela McCarthy1, Ives Valenzuela1, Royce W S Chen1
1Department of Ophthalmology, Columbia University Irving Medical Center, New York, New York.
Ophthalmology science
|August 8, 2025
概括
本综述为眼科医生提供了评估人工智能 (AI) 研究的实际指导. 它消除了AI模型设计的神秘性,并提供了评估AI成像模型在出版物中的策略.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 临床研究评估临床研究评估
背景情况:
- 人工智能 (AI) 正在迅速推进眼科,影响诊断,治疗和患者护理.
- 对眼科医生来说,关于人工智能技术及其临床整合的知识差距存在.
- 临床医生需要实际指导来批判性地评估研究中的AI.
研究的目的:
- 弥合眼科医生人工智能专业知识的差距.
- 为临床应用解密人工智能模型设计.
- 为在眼科研究中评估AI成像模型提供实用建议.
主要方法:
- 教育评论综合了AI论文评估的关键考虑因素.
- 来自眼科医生和人工智能专家的跨学科团队的见解.
- 基于专家讨论和人工智能研究方法的结构化框架的开发.
主要成果:
- 在眼科中评估人工智能模型的逐步方法.
- 临床医生评估人工智能研究出版物的实用策略.
- 广泛的建议适用于眼科医生和全科医生.
结论:
- 积极参与人工智能赋予临床医生在医疗保健创新的权力.
- 在AI整合过程中,优先考虑患者安全和护理质量至关重要.
- 这本指南为眼科医生提供了设备,以在医学中不断发展的AI环境中进行导航.
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