医疗保健系统,研究机构和工业界在人工智能研究和开发方面的合作
Jiancheng Ye1, Michelle Ma1,2, Malak Abuhashish1
1Weill Cornell Medicine, Cornell University, New York, NY, United States.
Frontiers in artificial intelligence
|January 28, 2026
概括
医疗保健中的人工智能 (AI) 显示出临床医生的高度兴趣,但面临合作障碍. 解决数据隐私,标准和培训对于推动医学AI发展至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医疗保健服务研究 医疗服务研究
背景情况:
- 人工智能 (AI) 在医疗保健中的整合为患者护理,诊断和治疗提供了变革性的潜力.
- 医疗保健系统,研究机构和工业之间的有效合作对于实现人工智能的全部能力至关重要.
- 了解这些协作动态是应对挑战和指导医疗领域未来AI发展的关键.
研究的目的:
- 描述人工智能医疗保健计划中的协作网络和利益相关者.
- 确定这些合作中存在的挑战和机遇.
- 阐明未来在医疗保健领域人工智能研发的优先事项.
主要方法:
- 对中国全国横截面调查数据的二次分析.
- 涉及5262名参与者:5142名临床医生和120名研究机构专业人员.
- 调查探讨了人工智能使用,协作动态,挑战和研发优先事项.
主要成果:
- 临床医生对人工智能的兴趣很高,但兴趣和实际开发参与之间存在着显著的差距.
- 人工智能研究部门的建立有限,跨学科的合作很少.
- 人们愿意共享数据,但对隐私,安全和缺乏行业标准/法律指导方针的担忧阻碍了进展.
结论:
- 医疗保健人工智能采用是热情但谨慎的,与合作和实施的重大障碍.
- 建议包括AI专用教育,安全的数据共享框架,明确的行业标准和专门的AI研究部门.
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