人工智能在神经放射学中的挑战和潜力
Anthony J Winder1,2, Emma Am Stanley3,4,5,6, Jens Fiehler7
1Department of Radiology, University of Calgary, Calgary, Canada. anthony.winder@ucalgary.ca.
Clinical neuroradiology
|January 29, 2024
概括
清晰的科学报告对于人工智能 (AI) 在医疗保健中的广泛采用至关重要. 透明的报告确保了研究人员,提供者和患者对医疗AI进步的支持.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 科学沟通科学沟通
背景情况:
- 人工智能 (AI) 是一个快速发展的领域,对医学研究和公共卫生有重大影响.
- 医疗保健行业正处于一个关键的关键时刻,利益相关者正在形成关于人工智能集成的意见和政策.
- 成功部署人工智能需要医学研究人员,医疗保健提供者,保险公司,监管机构和患者的广泛支持.
研究的目的:
- 强调清楚和透明的科学报告的重要性,以促进对医疗AI的支持.
- 倡导从人工智能研究和开发的早期阶段建立强有力的报告标准.
主要方法:
- 对AI软件产品生命周期中科学报告的现有指导方针和文献进行审查.
- 在急性缺血性中风的预测性组织结果建模领域内AI报告原则的上下文化.
主要成果:
- 将人工智能研究转化为临床实践的挑战包括模型设计,验证,监管障碍以及供应商对有效性和成本的担忧.
- 这些挑战也为有影响力的研究提供了机会,以加快人工智能的采用.
- 建立和遵守报告标准是所有利益相关者共同承担的责任.
结论:
- 透明的科学报告对于建立信任和促进AI在医疗保健中的整合至关重要.
- 通过严格的报告来解决人工智能开发和验证方面的挑战,将加速临床采用.
- 共同遵守报告标准对于医疗人工智能的负责任发展至关重要.
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