医疗成像诊断中的人工智能:我们是否准备好进行临床实施?
Oscar Ramos-Soto1, Itzel Aranguren1, Manuel Carrillo M2
1Universidad de Guadalajara, CUCEI, Departamento de Ingeniería Electro-fotónica, Guadalajara, México.
Journal of medical imaging (Bellingham, Wash.)
|June 23, 2025
概括
人工智能 (AI) 可以改变医学成像诊断,但技术,伦理和法律挑战阻碍了采用. 解决这些问题是安全有效地将人工智能整合到医疗保健中的关键.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 在医学成像诊断中提供了变革性的潜力.
- 先进的算法有望提高诊断准确性和效率.
- 临床采用面临着重大的技术,伦理和法律障碍.
研究的目的:
- 检查AI在医学成像诊断中的潜力.
- 为应对阻碍人工智能的临床应用所面临的挑战.
- 概述安全,有效和道德的人工智能实施的步骤.
主要方法:
- 对人工智能模型的技术要求进行全面讨论.
- 对负责的人工智能部署的伦理框架的检查.
- 分析法律影响,包括数据隐私和监管合规性.
- 探索可解释的人工智能 (XAI) 以提高透明度和信任.
主要成果:
- 主要挑战包括数据质量,模型可靠性,基础设施和监管合规性.
- 人工智能缺乏可解释性是一个重要的障碍.
- 可解释的人工智能 (XAI) 对透明度和信任至关重要.
结论:
- 需要一种协作,多学科的方法来负责任地整合人工智能.
- 解决技术,伦理和法律问题有助于人工智能的采用.
- 人工智能可以增强传统实践,使医疗保健系统更准确,更有效,更以患者为中心.
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