对可靠的人工智能的要求及其在医疗保健中的应用
Myeongju Kim1, Hyoju Sohn1, Sookyung Choi1
1Healthcare Innovation Park, Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Korea.
Healthcare informatics research
|November 15, 2023
概括
确保医疗领域可靠的人工智能 (AI) 需要进一步研究可解释性,公平性,隐私性和稳定性. 建立明确的标准和法规对于安全的临床采用人工智能技术至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 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) 正在医学领域迅速发展,但在临床采用方面面临挑战.
- 确保人工智能技术的可靠性对于它们的广泛使用至关重要,需要广泛的研究和社会共识.
研究的目的:
- 审查和分类可信的医疗AI的要求.
- 调查医疗保健人工智能的当前研究趋势.
- 在临床环境中探索可信的人工智能标准.
主要方法:
- 将可信的人工智能要求分为可解释性,公平性,隐私保护和稳定性.
- 在医疗保健研究中对AI进行了文献审查.
- 分析了医学领域可靠人工智能的标准.
主要成果:
- 可解释性需要技术,评估和用户界面的进步,以便在临床采用.
- 人工智能公平性需要为医疗应用开发优化的评估指标.
- 隐私和稳定性需要进一步的技术开发,特别是针对对抗性攻击.
结论:
- 未来的发展需要建立基于特定应用和临床领域的医疗AI的详细标准.
- 这些标准应纳入人工智能法规,开发指南和医疗器械审批流程.
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